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Build the DW, ETL (09.12.2010)

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Title Build the DW, ETL (09.12.2010)
Title of Series Data Warehousing and Data Mining Techniques (WS 2010/2011)
Part Number 7
Number of Parts 13
Author Balke, Wolf-Tilo
Contributors Homoceanu, Silviu
License CC Attribution - NonCommercial 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
DOI 10.5446/319
Publisher Technische Universität Braunschweig, Institut für Informationssysteme
Release Date 2010
Language English
Producer Technische Universität Braunschweig
Institut für Informationssysteme
Balke, Wolf-Tilo
Production Year 2011
Production Place Braunschweig

Content Metadata

Subject Area Computer Science
Abstract In this course, we examine the aspects regarding building maintaining and operating data warehouses as well as give an insight to the main knowledge discovery techniques. The course deals with basic issues like storage of the data, execution of the analytical queries and data mining procedures. Course will be tought completly in English. The general structure of the course is: Typical dw use case scenarios Basic architecture of dw Data modelling on a conceptual, logical and physical level Multidimensional E/R modelling Cubes, dimensions, measures Query processing, OLAP queries (OLAP vs OLTP), roll-up, drill down, slice, dice, pivot MOLAP, ROLAP, HOLAP SQL99 OLAP operators, MDX Snowflake, star and starflake schemas for relational storage Multimedia physical storage (linearization) DW Indexing as search optimization mean: R-Trees, UB-Trees, Bitmap indexes Other optimization procedures: data partitioning, star join optimization, materialized views ETL Association rule mining, sequence patterns, time series Classification: Decision trees, naive Bayes classifications, SVM Cluster analysis: K-means, hierarchical clustering, aglomerative clustering, outlier analysis
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OK so we should probably begins on fraudulently office about can count on a date or a place for the 1st part of later found some maybe he would join us the late the point during the only child and then Eibeler try to replace so that staff with the lecture That's 1st social committee member what discuss the above last week Soloway have into about being introduced though up operations which started with the classical patrician's 1 has perform when we now legal Processing like Prolog which came into play Boris here but he go N-dimensional than mention of can be again 1 that both the ball up when you go over the bulk of your grand then you have to balance and the main point here is that in order to perform the longer actually need the date of your account of the lower ground Medicaid in the data that you have you can simulate such things so if you don't have the data senior the aggregated about a multi-dimensional model then you can simulated with just taking died from hopefully urination of more than injured time but this takes time who have the classical sliced diets and the local operation in his critic and stimulated them we were as we discussed last week between the sabbatical the face which allows us to offer for the sort orations and the they time we will we again have a great game which is in the case of the about with housing we have spoken about the scale 1990 sold that both part of the script and the is already able to perform well on the way up to London to 0 parade and those also spoken about in the sea of creating which which has been the 1st to introduce the
Which was 1st introduced by a Microsoft and due to the woman and position on the Mockett has also became the standoff outpost found in a multi-dimensional quitting reaches of cost this is used for the case where pastry easygoing storey as multi-dimensional told raised the more case but it has also been pointed in 9 relationally but 1 Lannoy economy go persistent systems for mapping long 1990 could not know that the spoken about the Italy which is we spoken about the of about how the database brought by their own Odjik live alone of physical level can no of the lawn and speak about how they powerhouses actually Bill will be given today with the whole of the politics of believing that they thought were also looks like will discuss in be details the Campos's will be leaving the house which we spoken told the cost 6 times for mobile Coracias and we will conclude that later with the speaking about the made meant the about the was a Tory which impose the quality of the data now would data where house OK so what those was the deal would be leaving the household as such topology differ from a mild softer development point well but it's a pretty complex politics involves a large number of pop TV these and it has a pretty of different stopped at the end of the classical development the development of projects it has a project manager at the US project management stuff is many products sold it Lensbury sauces it manages the BOJ timelines and it has and that he picked up in the case of the day but when houses it has to be a where over the methods which should be allowed on the day where house on the concept which she wants the they go host or the debate over powerhouse needs before the end of costs he must be a way of all the data we all should be more of a soul conceptual MobileMe is a bust of the poet house here are we are speaking about a multi-dimensional indications ships and multi-dimensional where man with open about denied picture 5 of so that we will speak about the powerhouse minor but this is the person who is a way weight of my mining algorithms with a way of strategies off how to data from the date that where house about this falls into the category of non standard analyses how 1 can perform such Iles's but not to the point told data mining algorithms and the US about the concepts which need to be mind but that he picked and the minor need the domain expat which said that the bid that where house has pushed over what the company needs so as to be subject for this is 1 way we need the domain explode he will fall at the last OK union the ban could be Tyne related for so positive the tax fiscal year such information some provided by the domain explodes so he is now a domain knowledge sauce the have the classical the he will actually before the main maintenance and management of the Met other sold we implemented the storage of tomatoes the time the member of the for the Tory Wheeler or were found the past for the acceptance Forum and world processes and then we have the user which it in front of all were the identical Guys and performs operations with open about last week
Quote so I ordered vehicle nice Umbro's which are not classical homeowner project management and the board of development of the 1st of all we have to speak also about choosing the right after the large many possibilities many vendors technology provided by the first choice we have full of the opponent is how should of these equally database should be multidimensionality staunch would litigation beast or this is based decision which has to be taken of across all of the world's we have discussed the ball but there lie with the person who has domain knowledge and will tell us all of company needs of a powerhouse which goes up to to 50 because this is the amount of the paper we actually on a regular basis is all we need something be good before we should go to relations of another choice is what blues should we use the is performed with different blows from different standards their usually independent of the event for data where housing solutions as well as from the those which offer database management systems for that will proration environment so that different and this has to be established the beginning not the tourist and Iles's blues with what they might go into a fund that data mining over the powerhouse what is going to enjoy it might have been functionary which have already are also need for the Angels and other pistol soft is the repository and it's not the regularly used in the dollar book in another day powerhouses power but it is an important component when I'm out and the with the Corporation which spread that on many countries and I'd be immediately need a very powerful made about time management to follow my that they got for my company and see where the big step from where he needed go for something like this site need those proposed Tories you can imagine them as has fallen from 4 when it comes to the high the choice of costs the solution will be distributed you are willing to speak about starting today are for something which is more of actual amara amara more performance of capable of 4 4 2 Big East needs or probably you would need something to keep but for or for for example network storey to and the network clear imposes Samsung legs to have the computers and so as not old but I still have a high-capacity old storey processing power we've said that there is only is a trade off between storey to and proceeds much of the information is the outgoing how it would during the bosses this propagation step cost us a lot of processing this is why multisync use systems on the way to go to a and the data is then I knew that if I'm going to lose that they die accountable and he and and is any more so they batted occasion trade Midori makeup strategies most of the day with holes and also have a point but not something like lame light netbooks which they became the data told the global within a catastrophe of something like this the best example is the way of the sense that whatever their just imagine that the Bank would have had all of their clients just in the way of dates and the set of the banque would have been week after the disaster this doesn't happen due to the fact that 3 of 4 rounds must be concerned that from the beginning of this other factors like the cost of the memory band with the transfer rates latencies have to be taken into consideration of as the predict that might look like a bit of a a prototype like the project sold with the but the 4th on Sept with established that they make infrastructure behind the soft where we were from the 1st extract for ruled process as a prototype and a forum for the 1st time Iles's and the people walking has told by or domain expert and prototype used so we just have linked to the use which would be the because for of the users of the day powerhouse an hour company and see what do need what do expect from the state away house what the and you would like to for this happens in the post on the way below the public by the end there is control the much like an insult to the development you have a bad race and you have a new truce some but that this 1st this is exactly what happened here to be a small but the mountains or Lady Lady how it would go for the marketing department how would function is the Monte appointment will try before my peaks on the way out and the chorus when the project which is much want that the phrase is general availability where the whole of the company can have access to the data where house in the Lower House goals for the can respect the requirements of the whole of company but the scent process of the bid powerhouse for that is the extent of mould and this is exactly what we we discussed with what is a sectors for of old processes it actually of the world combined functions which had used to move the dollar though although operation of the system to get it to the stage in the area the town's for me to make it planned for trial power company like I'm getting data from America Asia and put the need to get that I'd trying to make it consistent the is quality to emerge and find duplicate and and will be attended the that were so it then clubs for migrating the data and and the the need for the proper from as a process and the data house with can also us a when should be performed did well we can't permit the key and this is actually the most use technique of the deep and then from the company's strategy 1 can before it every night of the week in the few weeks that can be a fresh seized by the state saw based on user means or of traffic for example only based on a best of the best examples of what they thought were thousand fresh though time of for efficient a powerhouse during the wind point base for for example for savers mounted in these very of is the crease 1 can have a good time off a week of planning that comes in the November and December sales months it is the crisp would be the basis of cars that are also event they solutions went to the bus stop was wind have followed by on a new contracted another of the company which is going to give us despite about the by 1 for 1 each thousand system for the Commons and the company faced a might be powerhouse a before new and light dynamics of fans of the cost of this is also the case where they can have a powerhouse for analyzing stockmarket for something like this which is pretty off they powerhouse technologies we speak about time except the forum Road where every of the has to effective in the house but the section is very problems and it's not that easy to to for for big amount for a large amount of the data OK so that he could have said that the they used to integrate heterogenous Systems the company's a subsidiary from night states may use the tool Europe may use Orrico so any to integrate from different types of sauces which use different types of technologies so I killed and has to be able full cope with these heterogeneity by the challenges of the though it has told the data from the sauce for the party at its fastest 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If you doubt if it takes mango loser long rather than based than he just it has Booker would be a from the if I'd have this is limited window time and that they feel processes I'm not very happy if it stops or again so it has will be able to continue from where he left about the balance which is vital she is between keeping the data in the memory and writing you want physical discs or 5 when in the face of the deep memory that is lost have recovered everything it takes more time the 5 beneath in a file denied from where I've most track we spoke at the beginning about the stage in the area staging India is the main area where the data is stolen after extracted from though proration of the system of the state in the area is not the place for the IN uses the data suffers hit a post a soft aspirations sold noted that the NHS would be cheek Asian oryxes from other than people inside the project is allowed in the state in the area may be you can remember the damaging fuel made with a restaurant where the guests are not allowed in the kitchen with his exactly what happened when the staging area so called as it look like we have followed the time in the operation item-by-item and led sale of police you led say financial system is in you S within consider this this kind of data for example for example for folks for the a weekend imagined that though humorous or Systems examples would we can imagined that the financial assistance with their status is in automatic items along with how ever need for before the extraction from this heterogenous systems and there for we build rappellers for each of these technologies Lappas except the found to queries for example storey in Iowa staging the area this can be anything from the files for normal databases it can also be of cost of appropriate that database management system then the state that has to be precise it undergoes across assault transformation today that cleaning and integration and then it will be loaded into the day powerhouse
So that they starting and density this is that the picture of the year but not difficult led bigger but about the structures in the staging the idea what kind of world of information buoy we storey in the state in the area and how is it actually storey so that we have not modified takes files for example exam and relationally table you may ask why West led by while you should which could be painful will actually be advantage of using the 1st is that the operating system is low cost when existing files and compared to the database management system when existing data due to the addition later there is a politically adding the database management system these increases the excess time another big advantage is that operations like Saudi merging beating and replacing through this exists of a foster sexist and is then Foster outside the database management system so then processing pet by told something like were other scripts results and possible months when of Blue down on Feb 5 of cost the disadvantages of the edge but it is not a baking concept where and when the renowned working with 5 sold 1 should again asking said himself what they might want to start and the blind need of the 18th Brian needle Cups there indexing that if I'm going to go for mobile such as the and the but not by the said that icon use of the house for something that's where 1 advantage on so away again someone who's to quote the date back and say what you like used for this kind of thing that should be of the file should be something else began of very important advantage when no win no or using pedophiles is that you are not when you'll Europol for electricity what does though operating system though it loses everything which had been the memory and fully those usually Spurs data temporary they number 5 down part of a plan by the 2 2 were paid by 2 of the protected against such figures as well as previously stated that sought the and he's you more than 5 Ciragan no very would choice since they of files can be sorted with cost of performance and compared with the British No databases during using function Eighties another classic examples of led by his own replacing test extremes again due to the cost for the cooperation system the other possibilities was using the exam added that it went on for much of the world though of the well being pulled of the old wood and indelible both the peak the early processes will later that points seeded did it is also very emboldened to away also close loading the transformation programs when integrating scheme difference he must have Dobie integrated and there for the week need a 1 lane which these different scheme which told exam out it these generally not used for persistent staging because it does not benefit from either of the 2 advantages of debate over databases and the 5 so it's a temporary solutions the classic the suede using the exam and did out of the BigSim scheme out of the but antiques Grace socially Weegee's and the transformation of the language and the cost will also have been the stage in Katie relations databases world this is the best solution when I'd done having appropriate that the deal pulled so I'm going to look everything by hand and Trust mean it can be done also by hand it just means of of the no how you have to know what you're doing and the of of causal before but when Belinda's by hand in relation of the business the best way to go although not the most efficient way
But most of multiple advantages when working with the variation of the bases of the fact that the men that they met at a the have the unease named you have the skin might have the the time to have the latencies variations between the tables so although this is given some of the 1st normalised staging is also or No 1 advantage because of the relations between the 2 different table so opinion pause of different of constraints when working 0 on improving the about what the then there as the vantage of the stock reduce which which would want him in the case of files care but the case will also extend to the hazards BigSim is just a temporary swoosh power over the main disadvantage which for dimension is that if I'd have been constrained is in the the case of Baby where houses which need to be updated in a sort and then have to use that I'd have to to go on Saudi new topping the information index has just the operating system icon Tuesday vintages which finished databases provide but of about the design of the stage in the area how does everything began with someone has to analyse the data have healthy about half of the table smoke like and build a based on the book amid the quoted off each table essentially means that each day will has told the estimated based on each featured use each in the staging for example in the nation's World for 6 when I'm going to build the post prototype or the day but with house by his team mate despite this amount of roles actually scanned during the calculated for data shows ruled it can be calculated for pointing useful but the Navy which can be built so this type of automatic where she worked and there for the me of about what I'm going to store in my staging the idea and what kind of profile should be sure that the variation of database should be a flat fight or exam for example new information that important information on their own land here again think about the Bauxites what kind of car drivers want to buy sold its related or a of the highway infrastructure Polydorus SIAM expecting in the stable of many bites or this information to the public that this means what kind of a 5 assembling to choose for my state in the area
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solution is to use a intermediate databases I'd and can use of cost vintages of the British databases the steps up affirming extraction operating of the swimmer speaking about building the powerhouse we have the nation extraction the extraction the became for this 1 has perform of Logic 1 has to know what should a extract from way again domain knowledge comes into place the person called knows about the business processes of the company with with legal case for us as an almost service Van the clients are in order and that whatever whatever the subject oriented processes the company has been through such information 1 can decide what the tables and databases important for performing extraction the 2nd Bible section is that long pouring extraction of those updates as we called them and regular databases where we can just go of input new daytime that were house which notified the data house of all about change the for if specific multi Wigan modified the dollar house also bought the the a we were previously in the previous pictures open about the fact that they powerhouses should not move me as they were not allowed to the information and the data power of this is why the debate that has a special of the day when no performing extraction actually for example when I've had been something of the most used to assess off the leaking information from the where house is just to make the information for example has sold more than so load morning also of some kind intact sold several and denied 3 more and I've come from their began to say just the negative Bill proration OK from the logical map connects the operation of system to the define of the data but the ability of the logic of a map implies discovering the data sought losses solo discovering discovering the sauce of my of my data from the sun Iles's has performed a discovery process has to take place where I'm collecting the airport that the book commands from the operation of the system and eye identified the databases the tables variations the Cabinet the keys and the data types we Amy interested in the step of building the diplomat by also have to pay attention for undermine the because something like Oh including now using the powerhouse can destroy the entire across with spoken about the abbreviated pay when building that negated venues with playing with an operate that like for example that you or parade of industrial 1990 it will generate now of the those are actually aggregated now and bills have Boulby differentiated from the mouth of a which come from the operating system that classical example is 1 America doesn't have a few and you have has been the corresponding and table to and managing the date of the of the upcoming not the medical would have not been that at what should we understand what the of this kind of on has to be to be treated earlier in the day the extraction crosses and the most dangerous cases when the number who comes in morning he told the join would be a problem because the classical solution point is to perform about the joined and the tables switch need to join and the denial of a new comes in just an hour mode of activity then now have spoken see again of asking the of domain specialist on how well the company like to those cases a classical solution used to just give special needs to once played the debate that has been made just say OK but we don't have minus 1 as they used in at it would deal so we interest in minus 1 hand during and the 1st with leg as it was not something like this was spoken about the initial extraction the 2nd part of it is built on growing extraction Saubade that needs to be maintained in the bell where house of cause this happens on a regular basis but the main question she is about how we believe that take what we actually need Club 18 the that where house it would be stupid just to be the Home information and a forum Gandini Schillebeeckx the amount of information told this would be a very big and as I've said there also and gaining information because I'd was everything which were reflected the state of the date prop by sold only possibilities and profound this is rule prefer only going extraction by depicting the changes talk and that the changes in the dollar housing the remainder of possibilities 1 is by using the special call on hold all the qualms of the other 1 is by using the function in a queue of classical databases to strategies the scraping with the books and the of the of of the world and that the possibilities of post assault intimidation will discuss each of them right now so the idea of using the hobby points is just by adding bandstands political after being I should look out the have this bandstand after the initial offer an exception at the time stand of their extraction after modifying the data and operation and Environment The timestamped changes with the last operation before and on the day when high then want to for this update I'd just take time steps and they see when was his record in the where possible that that was the last time step when an operation has been performed on the state of the world today it's good that the data has been changed due to different time-steps so it has to be updated also and the where house by introducing the new importation has said that the possibilities would be the 1 using Merck's classical solution is great
The idea is to use the legal local of the operation on the database and on other side and time point for example doing night about put find the transactions which affect the tables which I disinterestedly in began has a set of tables again related to the business because of some of the company where he is expecting continuously the data when the stables of the area in the world with certain transactions I'd just take those times transactions and put them in my in my day powerhouse as modifications over the data don't go go problem when using such an approach is when the buffer of the buffer the its for their approach for so for something like this is the way in the world automatically by the database management system and in such cases and world scrapers is not the will of the of what happened in between between the last scraping and after that it was it was empty and the fact that the law was empty but it found no of what happened in between sort of smile amount of data that can be lost that the possibilities would be looks the thing about this is the only solution where all the databases and table sweetshop interesting for Audigier across water and log but the knowledge and Grammar memory the again for which then the what is the transformations point on the this on Tuesday stables and reflects the modifications to the where house of actually in order to solve the the problem of foot in the the mould of a mixed solution between the school has to be used for example when the book has and will be the awful Cubans he then icon comply with of Logic times over the sneaking or scraping when getting food and reaching its kept a team and going to be afraid admit it could be empty sold time in the wild between the of scraping the model will be lower with this more so that they can decrease the amount of detail which I'm going whose you find 1 that was in the data in the world through a solution for detecting changes without losing anything as the process of the nation of the 1st these costs of time because the idea she is Bookham compared of persons of the extraction surround the visceral disperses processes of the previous of the last the last extraction called the and companies it with a staple of the interesting table seemed operation of Environment this scrum there is on a zoo can imagine is an or by were also accompanied everything from the operation environment with the last of the extraction so this week the Global 4 times that of the vantage impossible police any data other interesting and the advantage is that it can be paid the defeated lost because they can see what the what was present in the last extraction and what is not there any more in the operation environment so icon detect also the results on so as the said if the Red Cross could be to blame for Warrington and or Britain environment to such a map of the UK and the detective if however that the days of the roads have been ordered to loaded into the tie with a house in the questions that the made of multibillion the recording itself but blue eyed new records which correct the total consolation so out for example negative equity scans the bad records and then adequate said it was a don't want to lose any information on the steps on the long on the process OK were spoken about the extraction but below what the world about the data transformation the that they that transformation of basic uses whose look up tables combination with the without the Baitullah data dictionaries for justice amount of related data like 1 point to the need steps in the UK meaning in knowing that the transformation of the cleaning and they day integration of the 2 of them in the world manual or so of his own all of the so called sub processes are perfectly although my there are some Solutions which come from the UK officially intelligence something select the Mikel Grecian frustrating supervised unsupervised that made books about her quite would in order to supported the cleaning and Sky my integration power but as I've said the city's today even today not complete ultimately of post exited the about a lot of love of the English with consulting consultants consultant companies which which I just based also opposed to the city will create to appeal the spot and what they would do need saluted so you can get clean data and the powerhouse we can't put the data integration 42 by writing new screens that race legs when there is a problem of costs from the end of this there is a human being with a 100 foot display with good football records and about this 1 red and 1 of the newest is OK out of these 2 record seemed led at the same time the difference if the flag raised by the consultants programme has identified these draws and as the applicants Donohue when his PPL computer on or told 36 disappointed a sense that some the or and by the end but that this is how it is done so big that cleaning is is quite well above manual what will speak of cost just above semiautomatic and although primatic approaches can be implemented in the UK is only found out that the data can be the possibilities and the troubled lookalike will the practised excluded the should have correctness 1 example for folk or a great days postponed with another stories located embellished how away in the rest of the city it is reported that the stories on various the the pulled sauces for this information on 1 of them is wrong that out of a different types of Poles which have been joined together so quiet is by the love of collectivistic when when speaking the ball to be the body of another 1 easy to 19 which solo have to make sure that and be sure that the news of the attack had just 1 meaning and can not be Mesi interpret the consistency of the big problems is again when no win no we are speaking about the his which can be used to legs like made female in the database from America to with low probably find them for male or female you will prove may be find the complete were painting a Schaeuble refined 0 and 1 you have to the get this information together because actually what this information has made is the same thing sold the data which I'm going to push for another pool put into my Baidoa powerhouse has to be consistent another but it is the completeness with just spoken about now that we should not allow now use when moving into the with house would use them either of the business of decision where we say OK British should be replaced with something more other means that they ducking engine but this is actually a the believe was which will be latest board and meant that the repository the for is that the world is that the findings of which happened at about did that the beginning of what this is just the description of the state modification the business objects the remains I'm interested in when storing the over house the data sauces toys become again it became so again technical they will affiliation draws from the board at the time the new rules again for example homing Caddick should be named have of the fact that it took them so long everything is in order and to bestowed intimate about the and everything that every every piece of information legacy is discovered during this profiling process the 2nd that the world is the event that this is actually also ordered the organised for classical load of the tie with housing scheme are expected to discuss came up 0 where the each is more no we have a screen that mentioned events the dimensions and they will then mentions of the screen then mansion deflates defeat which have been used and for which the date back to the best what kind of tests have been failed of everything is than the the real thing the of event that this is all a affected will and of this then heads identifying where should would the legs for someone to local will might be the last word the that the about the need for a sense is the holding dimensions which actually describes how the quality of my the dissection these in the context of Paul preferring to sell the dimension usually the fuck table so when I'm going to my face actually need to know how does my a fact complying with 0 according to the screams of the find someone it the quality of my data for for example of the complete than when it comes to all of the text or when it comes to we bigger the number of screens which has it has failed screens can be something far more of taking the when inquiries points below dictionary I'm going to define addiction and with of the names of the people names from the United States and I'm going to take my client database against the fiction and and his overall sales this best disco is going to be registered in the UK or the damage on the corner of the cleaning the engine action they prefer the following tasks it means that they don't want to make and this is especially useful when speaking about the dress a classic example is of a feud with a client history and put in an online for music is dress
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I'd be identifying side such data that would be Dow cleaning across the costs of open sauce allusions and not open sauce allusions small but most of them are offered semiautomatic metres from the open sauce and would like to mention that the Deputy that your dictate that it's quite easy to use and the and does very good work and the them and open Profile of cost from the non opened for so tools of the big lenders have bought themselves some small companies which have stopped before the quite which were world performed here some screenshot of the day duckling just 2 solo Howard it can function for simple tasks like for example for the rest you can be fined or said some special figure figure expressions you can know of cost test the regular expressions of you have developed with some inputs and see what passes 1 thousand files you can also use some are already defined the you expressions from their celebrity and so on 0 1 would example is the categories they can cover a sort of lap over from the edge of the Dow which they have defined as to why the geeky cheques for expressions examples here for the date and time of a new point and best when now when the of performing cleaned loaded the mentioned is there are no money detection so they die which doesn't 3 feet in the evening each 1 example level Reviews was an inmate at the code which is that the mayor is named maybe it's kind of strange told Belushi 1 should look locally dainty comment that that where the data came from maybe it result but for will make off to a record where Chilean mistake has been done to interpret England made female with of legs legs your and 1 industries on with this strange name for unilluminated dictionaries quite an interesting and important field where no when no speaking about the quality of the data of the Swede than named well but it's not actually that the best example of the most interesting examples for something like this for for using the money depictions his for a of large savant 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cost the much more of this divisions you can investigate and people over your see which pizza actually to the order book was on his distribution and all of that are also established PeopleSoft solutions that most of the EU's is the dispute that this is not an open saw solutions and usually mentioning 12 or the what is open sauce and what smile maybe I want to try to hold the post sought to have the possibilities for a for example can be used to the for something like this book English spoken than about the fact he thought of the town's formation and we will start with the 2nd part of the transformation respectively the integrations the integrations comes from the fact that in the operation of the environment we have different tables difference so but the target sauce is a that where house which has a different scheme it has either that for the forest flakes came off for the right came from useful for example and in such cases identi integrate did they die have or Priestman and Environment during the processes tiny full these although the differences between the perspectives of the data have a and in the operation and Environment The also have to be careful not tool of keep a new the dominance of its stake of Queen closer to the integration scheme must still be so across a symbol of sexually for of 4 steps the pre integration and where the premises before in order to see what the skies this scheme has to be to be integrated the scheme has to be integrated that compared made confirmed with each other so that they can use data from PPL full sauces which actually used the same the for example sales of about from America with sales of about from on you book sales for the year the Dow where house power but the scheme must might be different for example the price my might might be called cost him out of the stables has that to need such things need to be deducted from the beyond the school the sort of scene is complete scene is the same scheme of made called for much restructured unifying scheme and and can be ordered in the power of costs of the of the integration bosses is also of contains a continuous bosses which needs to find the cause went on would be thekitchen for scheme for 1 of my saucisses them before the end of this month multiprocessor has told them so that they can get the data from the new scheme must and for this reason this has to be performed on a continuous basis OK Soro which said that the start with a pre integration on Iles's for these are not we identifies scheme with competing Sokolski must be told the same type of the which should be booked again we identify conflicts like for example cost of price for comparisons of scheme we've Bilili stop complaints conflict and then attracted is all of that will see this would also many what we and try to inform the scheme eyes in and the fight with a modified this scheme integrated and and then Magentis activity that included an integrated scheme of this is how and the hold for 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know what you're doing that the details scoring so that you can finish last that's the difference between this and classical with the help of costs and the best solution for performance something like this is performing the distinct distributed of Impala classical close for a week you can said John Woolgar data transformation services you will come up with ways of HBOS which are suitable for something like this the following the bench is is across were not only the Tea or utility for something like this and there is scrambled return the classical contenders for for poor old for initial when it comes to the World Inglewood dying of closed this has to be to be scheduled when when should loading need the and don't Shia which would have to have a look at ways table between Howard data complete would days in the House of fresh the victories so the and you're not going to see a bit of a house which for NHS year the based golden because the and the decision struggling to take 1 monthly basis 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the the and then all of the index's for claims said because of their wives when performed the and said Hilton club in the next and the next just usually with built of them will cost of fine hydantoin to Buddhist and the fact they table which has millions of records for job and in a class of constructing 6 1 more time and more interested in the next the days later that the cost of the index's is also good idea for bidding Dulcamara Joe make the for their trees 3 members of the minimum bombing director those sought to pull avoid the dead space there are some heuristics when renovating the index to use of costs of their with built a mild geometry and the least well off of the space This Is this is the manager of the year after to perform the details you have opened the data and the Dow where house but in the last few users of though they tell with housing solutions companies speak more and more involved above the made the what should want to with them and that there were speaking the both 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talking about also ownership descriptions squad the data where we have not bought a new now when they powerhouse this is data about the dust and the data were half and was up the what kind of looks as methods have been used was it the for example stowed very clean the the operating system would is was taxes to the database management system was a table and for are the at the Met other coming from the sauce system of how was date upper said the job was schedule of how was the data extracted for what kind of extraction called the need to be extracted from the operation of the system from the date staging the idea of we have that like for example of the Bush ebullient and the back of files we have used the intermediate dissolves we have obtained now we have the day mansion tables of costs with this or that he's which we have signed between the them mentioned tables and the and the fact tables we have the confirmation which the data has on their own from the beginning of its life diamond 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to look where the data came from the is now and boasting point or structure and you can reach this tool tools for the make up of the as a sort some idea what they would like to cool to remember from the 2 days later his that on the day that with the cost projected usually complexity context asked if you has a palm 500 up 1 thousand of subtasks but it boast using the hub the sulphur and establishing the Timeline the Timeline usually comprises faces palm building the very specific prototype with just 1 day time on his mind than trying the bonus of the test and the and make it available for the whole company of the most important when building the powerhouses 6 other possible ruled process which involves establishing the storey story structure in the staging in the area the strategies which I'm going to use for extraction how should they decide what 1 going extraction what has changed for example of the finger scraping log on what that the problems will for creating an sniffing for example of should them over the globally food and empty by the database management system some point we have spoken about the transformation supper since which involves the shooting 1 of the of the quality of cause a major problem she is the semantics semantics is problematical Sorum performing integrations it is out also can Manuel which is assisted by a similar amount the approaches which open about last supperless so the field removing the mean shoes this week indexes for example of the solution for the part they will offloading everything is about and spoken about the meant that the is a solution to describe the information which we have indicated that where worth mentioning the is that it comprises or the intermediate results will be the key for us as helps understanding how to use the data where holes eventually for for beating the amount for the data
Next we Wheeler stuffed with business intelligence we will intensified Paolo discussion about the state of mind go about the about where housing and all up by going for the time mining and how we can achieve information by analysing the data will speak about the basic principles of the de mining and will start with the concrete example of the Association of mining classical example code for 4 but that where housing for fun Iles's rejection airport for these caught my have Muscat time I'm told what have people bought to get like whining cheese or stuff like that they are actually a for example the value is doing something like this on on under the powerhouse just to see how to take their tax with before the 1 with before the cheese there should be to get the clothes and the plant comes by Stevens's new would wine in by by more stuff like this month at Muscat Ernestine's is Association my that it for today's with you next time
Torus
Scientific modelling
Multiplication sign
Mereology
Weight
Subset
Summation
Pointer (computer programming)
Strategy game
Cube
Internet forum
Query language
Office suite
Position operator
Physical system
Algorithm
Process (computing)
Product (category theory)
Software developer
Network switching subsystem
Staff (military)
Price index
Hierarchy
Category of being
Data mining
Network topology
Data storage device
Order (biology)
Quicksort
Data management
Point (geometry)
Domain name
Set (mathematics)
Open set
Pivot element
Number
Operator (mathematics)
Database
Data mining
Drill commands
Energy level
Computer multitasking
Scripting language
Prolog
Mobile Web
Operations research
Standard deviation
Scaling (geometry)
Information
Projective plane
Operator (mathematics)
Euler angles
Software maintenance
Similarity (geometry)
Personal digital assistant
Speech synthesis
Game theory
Axiom of choice
Standard deviation
Musical ensemble
Structural load
State of matter
Decision theory
Multiplication sign
Sheaf (mathematics)
Client (computing)
Integral transform
Roundness (object)
Bit rate
Strategy game
Internet forum
Bus (computing)
Extension (kinesiology)
Physical system
Area
Metropolitan area network
Boss Corporation
Theory of relativity
Process (computing)
Building
Software developer
Complex (psychology)
Basis (linear algebra)
Bit
Functional (mathematics)
Hand fan
Data mining
Propagator
Repository (publishing)
Website
Right angle
Whiteboard
Data management
Data type
Task (computing)
Physical system
Point (geometry)
Classical physics
Domain name
Read-only memory
Ewe language
12 (number)
Game controller
Divisor
Software developer
Transport Layer Security
Connectivity (graph theory)
Process modeling
Dynamical system
Expert system
Event horizon
Computer
Power (physics)
Data management
Prototype
Goodness of fit
Operator (mathematics)
Database
Subtraction
Self-organization
Standard deviation
Netbook
Key (cryptography)
Information
Computer
Projective plane
Expert system
Set (mathematics)
Integrated development environment
Personal digital assistant
POKE
Computer network
Catastrophism
Domain name
Standard deviation
Product (category theory)
Axiom of choice
Software developer
Building
Complex (psychology)
Internet service provider
Mathematical analysis
Focus (optics)
Data management
Database
Function (mathematics)
Software
Repository (publishing)
Data mining
Physical law
Task (computing)
Physical system
Domain name
Self-organization
Network-attached storage
Mathematical analysis
RAID
Software maintenance
Factor analysis
Read-only memory
Iteration
Band matrix
Computer network
Phase transition
Data storage device
Process (computing)
Backup
Multiplication
Proof theory
Metropolitan area network
Multiplication sign
Operations research
Axiom of choice
Building
Heat transfer
Mereology
Control flow
Replication (computing)
Bargaining problem
Computer hardware
Uniform resource name
System programming
Central processing unit
Prototype
Traffic reporting
Source code
Event horizon
Database
Function (mathematics)
File format
System administrator
Form (programming)
Data type
Wide area network
Read-only memory
Computer file
Transformation (genetics)
State of matter
INTEGRAL
Chemical equation
Multiplication sign
Table (information)
Area
Read-only memory
Telecommunication
Operator (mathematics)
Database
Process (computing)
Communications protocol
Physical system
Area
Rule of inference
Process (computing)
Data recovery
Chemical equation
Projective plane
Open source
Multi-agent system
Query language
Personal digital assistant
Computer hardware
System programming
MiniDisc
Normal (geometry)
Data management
Physical system
Window
Axiom of choice
Read-only memory
Computer programming
Beat (acoustics)
Numbering scheme
Computer file
Transformation (genetics)
State of matter
Set (mathematics)
Multiplication sign
Fault-tolerant system
Mereology
Area
Table (information)
Formal language
Number
Summation
Population density
Database
Operating system
Moving average
Scripting language
Software testing
Data structure
output
Subtraction
Physical system
Area
Metropolitan area network
Addition
Theory of relativity
Process (computing)
LTI system theory
Information
Computer file
Point at infinity
Planning
Coma Berenices
Extreme programming
Functional (mathematics)
Table (information)
Function (mathematics)
Figurate number
Data management
Data structure
Resultant
Operations research
Scripting language
Data recovery
Computer file
Java applet
Open source
Order (biology)
Human migration
Function (mathematics)
Uniform resource name
Query language
Process (computing)
Data structure
Physical system
Installable File System
Digital filter
Repetition
Computer file
File format
Staff (military)
Sequence
Mechanism design
Database
String (computer science)
Function (mathematics)
Lie group
Query language
Process (computing)
Energy level
output
Physical system
Document Type Definition
Musical ensemble
Curvature
Structural load
State of matter
Multiplication sign
Relational database
Sheaf (mathematics)
Insertion loss
Client (computing)
Interface (computing)
Mereology
Table (information)
Area
Explosion
Mathematics
Type theory
Strategy game
Internet forum
Negative number
Row (database)
Physical law
Series (mathematics)
Exception handling
Physical system
Data integrity
Area
Boss Corporation
Theory of relativity
Constraint (mathematics)
Process (computing)
Mapping
Structural load
System administrator
Basis (linear algebra)
Metadata
Data storage device
Functional (mathematics)
Open set
Maxima and minima
Database
Hausdorff dimension
Equation
Quicksort
Uniform space
Volume
Bounded variation
Data type
Data structure
Asynchronous Transfer Mode
Row (database)
Classical physics
Point (geometry)
Domain name
Computer programming
Service (economics)
Computer file
Data storage device
Directory service
Rule of inference
Open set
Power (physics)
Number
Prototype
Causality
Profil (magazine)
Database
Operator (mathematics)
Operating system
Queue (abstract data type)
Scripting language
Subtraction
Installable File System
Operations research
Raw image format
Multiplication
Information
Hazard (2005 film)
Key (cryptography)
Sine
Length
Exponential function
System call
Table (information)
Integrated development environment
Personal digital assistant
Logic
Device driver
Database
Uniform resource name
Open source
Computer program
Transformation (genetics)
Metropolitan area network
Source code
Mapping
Open source
Finitary relation
Table (information)
Maxima and minima
Database
Oval
Insertion loss
Phase transition
Uniform resource name
System programming
Process (computing)
Rule of inference
Software bug
Gaussian elimination
Structural load
Database
Row (database)
Key (cryptography)
Basis (linear algebra)
Process (computing)
Maxima and minima
Database transaction
Context awareness
Group action
Musical ensemble
State of matter
INTEGRAL
Logarithm
Multiplication sign
Decision theory
Scientific modelling
Combinational logic
Water vapor
Client (computing)
Complete metric space
Data dictionary
Dressing (medical)
Information technology consulting
Table (information)
Programmer (hardware)
Mathematics
Negative number
Flag
Electronic visual display
Row (database)
Process (computing)
Pairwise comparison
Descriptive statistics
Stability theory
Physical system
Area
Touchscreen
Process (computing)
Theory of relativity
Mapping
Real number
Structural load
Open source
Arithmetic mean
Gaussian elimination
Repository (publishing)
Hausdorff dimension
Order (biology)
Buffer solution
Video game console
Whiteboard
Quicksort
Data type
Data management
Resultant
Pole (complex analysis)
Data integrity
Row (database)
Point (geometry)
Read-only memory
Numbering scheme
Transformation (genetics)
Login
Entire function
Event horizon
Rule of inference
Computer
Emulation
Number
Power (physics)
Business object
Goodness of fit
Database
Operator (mathematics)
Dispersion (chemistry)
Software testing
Subtraction
Task (computing)
Axiom of choice
Database transaction
Information
Consistency
Physical law
Set (mathematics)
Cartesian coordinate system
Table (information)
Word
Integrated development environment
Logic
Personal digital assistant
Formal grammar
Rule of inference
Pattern recognition
Algorithm
Personal digital assistant
Disintegration
Open source
State of matter
Artificial intelligence
Row (database)
Transformation (genetics)
Table (information)
Consistency
Object (grammar)
Characteristic polynomial
Complete metric space
Address space
Rule of inference
Source code
Touchscreen
Gateway (telecommunications)
Software configuration management
Open source
Interior (topology)
Hand fan
Table (information)
Explosion
Fermat's Last Theorem
Error message
Event horizon
Object (grammar)
Public-key infrastructure
Repository (publishing)
Row (database)
Key (cryptography)
Physical system
Domain name
State of matter
Basis (linear algebra)
Complete metric space
Matching (graph theory)
Client (computing)
Mereology
Table (information)
Timestamp
Leak
Programmer (hardware)
CAN bus
Mathematics
Formal verification
Hausdorff dimension
Row (database)
Information
Stability theory
Process (computing)
Touchscreen
Structural load
Discounts and allowances
Maxima and minima
Arithmetic mean
Lattice (order)
Uniform resource name
Order (biology)
Abelian category
Data type
Row (database)
Point (geometry)
Sequel
Observational study
Data storage device
Control flow
Distance
Number
Goodness of fit
Term (mathematics)
Operator (mathematics)
Database
Subtraction
Metropolitan area network
Context awareness
Information
Key (cryptography)
Code
Core dump
Limit (category theory)
Local Group
Number
FLOPS
Event horizon
Error message
Personal digital assistant
Atomic number
Formal verification
Key (cryptography)
Game theory
Integer
Units of measurement
Family
Separation axiom
Address space
Metropolitan area network
Dataflow
Set (mathematics)
Length
Electronic mailing list
Focus (optics)
Emulation
Local Group
Hierarchy
Type theory
Pattern language
Key (cryptography)
Category of being
Units of measurement
Data structure
Field (mathematics)
Address space
Touchscreen
Gender
Multiplication sign
First-order logic
Client (computing)
Disk read-and-write head
Event horizon
Open set
Power (physics)
Wave
Measurement
Duality (mathematics)
Goodness of fit
Database
Memory management
Row (database)
Process (computing)
Addressing mode
Dean number
Rhombus
Rule of inference
Metropolitan area network
Email
Focus (optics)
Touchscreen
Process (computing)
Electric generator
Dataflow
Transformation (genetics)
Measurement
Table (information)
Maxima and minima
Wave
Arithmetic mean
Voting
Error message
output
Convex hull
Whiteboard
Clef
Resultant
Musical ensemble
Structural load
Code
INTEGRAL
Multiplication sign
Client (computing)
Mereology
Data dictionary
Perspective (visual)
Pointer (computer programming)
Video game
Object (grammar)
Forest
Stability theory
Area
Boss Corporation
Constraint (mathematics)
File format
Structural load
Open source
Sampling (statistics)
Basis (linear algebra)
Sound effect
Bit
Open set
Demoscene
Maxima and minima
Category of being
Data mining
Arithmetic mean
Network topology
Order (biology)
Right angle
Quicksort
Figurate number
Regular expression
Data type
Resultant
Data profiling
Row (database)
Point (geometry)
Metre
Numbering scheme
Identifiability
Computer file
Transformation (genetics)
Distribution (mathematics)
Data storage device
Code
Open set
Field (computer science)
Number
Power (physics)
Revision control
Prime ideal
Causality
Profil (magazine)
Database
String (computer science)
Operator (mathematics)
Energy level
Software testing
Analytic continuation
Subtraction
Metropolitan area network
Task (computing)
Pairwise comparison
Key (cryptography)
Information
Expression
Counting
Division (mathematics)
Set (mathematics)
System call
Table (information)
PeopleSoft, Inc.
Integrated development environment
Personal digital assistant
Speech synthesis
Game theory
Film editing
Window
Oracle
Metropolitan area network
Empennage
Electronic data interchange
Programmable read-only memory
Division (mathematics)
Core dump
Exponential function
Emulation
Number
Regular graph
Degree (graph theory)
Uniform resource name
Phase transition
Convex hull
Regular expression
Process (computing)
Domain name
Wide area network
Random number
Number
Software bug
Sheaf (mathematics)
Physical law
Range (statistics)
Row (database)
Counting
Law of large numbers
Quicksort
Table (information)
Local Group
Metropolitan area network
Software bug
Distribution (mathematics)
Pattern language
Data profiling
Emulation
Distribution (mathematics)
Pareto distribution
Distribution (mathematics)
Software
Statistics
Key (cryptography)
Discrete element method
Poisson process
Database normalization
Disintegration
Mathematical analysis
Process (computing)
Pairwise comparison
Perspective (visual)
Point (geometry)
Axiom of choice
Numbering scheme
Group action
User interface
INTEGRAL
Multiplication sign
Disintegration
Data storage device
Translation (relic)
Mathematical analysis
Electronic mailing list
Complete metric space
Client (computing)
Computer
Dressing (medical)
Power (physics)
Revision control
Integrability conditions for differential systems
Strategy game
Causality
Term (mathematics)
Database
Operator (mathematics)
Energy level
System identification
Pairwise comparison
Stokes' theorem
Metropolitan area network
Physical system
Stability theory
Dialect
Spacetime
Information
Real number
Structural load
Planning
Coma Berenices
Timestamp
Table (information)
Maxima and minima
Number
Personal digital assistant
Order (biology)
Strategy game
Modul <Datentyp>
Data type
Disintegration
Binary code
Attribute grammar
Emulation
Table (information)
Sequence
Type theory
Iteration
Strategy game
Condition number
Boundary value problem
Units of measurement
Arc (geometry)
Data structure
Data integrity
Default (computer science)
Musical ensemble
Constructor (object-oriented programming)
INTEGRAL
Decision theory
Matching (graph theory)
Mereology
Information technology consulting
Computer
Type theory
Internet forum
Process (computing)
Descriptive statistics
Physical system
Process (computing)
Theory of relativity
Mapping
File format
Software developer
Closed set
Structural load
Attribute grammar
Mereology
Instance (computer science)
Functional (mathematics)
Demoscene
Lattice (order)
Telecommunication
Order (biology)
Website
Quicksort
Resultant
Row (database)
Point (geometry)
Domain name
Numbering scheme
Service (economics)
Transformation (genetics)
Connectivity (graph theory)
Disintegration
Distribution (mathematics)
Electronic program guide
Distance
Attribute grammar
Pi
Causality
Operator (mathematics)
Energy level
Data structure
Metropolitan area network
Graphical user interface
Task (computing)
Greedy algorithm
Information
Planning
Coma Berenices
Set (mathematics)
Cartesian coordinate system
Local Group
Table (information)
Estimator
Error message
Personal digital assistant
Matching (graph theory)
Tuple
Distribution (mathematics)
Numbering scheme
Correspondence (mathematics)
Texture mapping
Disintegration
Open source
Attribute grammar
Correlation and dependence
Compiler
Matching (graph theory)
Instance (computer science)
Similarity (geometry)
Hierarchy
Number
Type theory
Query language
Element (mathematics)
Energy level
Data structure
Data type
Source code
Product (category theory)
Texture mapping
Disintegration
Bit rate
Variance
Local Group
Hierarchy
Number
Type theory
Query language
Element (mathematics)
Heuristic
Decimal
Data type
Series (mathematics)
Building
State of matter
Code
View (database)
Multiplication sign
Combinational logic
Materialization (paranormal)
Mereology
Information technology consulting
Impulse response
Integral transform
Video game
Strategy game
Linker (computing)
Physical law
Data conversion
Library (computing)
Physical system
Thumbnail
Boss Corporation
Service (economics)
Mapping
Structural load
Open source
Complex (psychology)
Basis (linear algebra)
Translation (relic)
Latent heat
Computer simulation
Hausdorff dimension
Graphical user interface
Whiteboard
Data management
Read-only memory
Numbering scheme
Software developer
Transformation (genetics)
Disintegration
Process modeling
Computer
Open set
Causality
Operator (mathematics)
Database
Energy level
Maize
Text editor
Metropolitan area network
Projective plane
Code
Coma Berenices
Transformation (genetics)
Cartesian coordinate system
Leak
Table (information)
Particle system
Window
Source code
Mapping
Suite (music)
Texture mapping
Disintegration
Open source
Java applet
Binary code
Transformation (genetics)
Formal language
Computer configuration
Logic
Text editor
Force
World Wide Web Consortium
Type theory
Structural load
Insertion loss
Building
Line (geometry)
Mathematics
System administrator
Physical system
Table (information)
Window
Data integrity
Complex (psychology)
Building
Group action
Scheduling (computing)
Context awareness
Structural load
Code
INTEGRAL
State of matter
Multiplication sign
View (database)
Decision theory
Complete metric space
Parallel port
Mereology
Semantics (computer science)
Table (information)
Maxima and minima
Order (biology)
Video game
Strategy game
Hausdorff dimension
Row (database)
Multimedia
Information security
Descriptive statistics
Physical system
Social class
Rhombus
Data integrity
Area
Metropolitan area network
Boss Corporation
Service (economics)
Process (computing)
Spacetime
Constraint (mathematics)
Touchscreen
Mapping
Structural load
Closed set
Sound effect
Bit
Functional (mathematics)
Arithmetic mean
Shooting method
Process (computing)
Network topology
Utility software
Heuristic
Energy level
Quicksort
Whiteboard
Data management
Data type
Resultant
Row (database)
Booting
Point (geometry)
Classical physics
Numbering scheme
Service (economics)
Computer file
Transformation (genetics)
Geometry
Control flow
Online help
Field (computer science)
Latent heat
Prototype
Goodness of fit
Causality
Database
Operator (mathematics)
Utility software
Operating system
Energy level
Software testing
Data structure
MiniDisc
Subtraction
Task (computing)
MIDI
Key (cryptography)
Information
Dimensional analysis
Transformation (genetics)
Cartesian coordinate system
Limit (category theory)
Batch processing
Local Group
Table (information)
Subject indexing
Error message
Logic
Metropolitan area network
Flow separation
Content (media)
Structural load
Continuous function
Data warehouse
Subject indexing
Open source
System programming
Drop (liquid)
Information
Booting
Scripting language
Structural load
Computer file
Open source
Code
Metadata
Dimensional analysis
Transformation (genetics)
Table (information)
Digital signal processing
Data management
Type theory
Frequency
Blog
Repository (publishing)
Hausdorff dimension
Physical law
Information
Process (computing)
Key (cryptography)
Data transmission
Scheduling (computing)
Physical system
Classical physics
Product (category theory)
Information
State of matter
Code
Multiplication sign
Disintegration
Metadata
Parity (mathematics)
Transformation (genetics)
Emulation
Invertible matrix
Data mining
Content (media)
Cube
Uniform resource name
Computer hardware
Phase transition
Software
Data storage device
Associative property
Task (computing)
Data structure
Flag
Rule of inference
Business Intelligence
Data mining
Hidden Markov model
Units of measurement
Associative property
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