Computer Science behind Geospatial Databases
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FrOSCon 201985 / 94
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00:00
DatabaseComputerOpen sourceFreewareReplication (computing)Core dumpSoftware developerGraph (mathematics)Query languageData modelMultiplicationBASIC-ADemo (music)TheoryGoogolSubject indexingUniform resource locatorDomain namePhysical systemVideoconferencingTerm (mathematics)Covering spaceSign (mathematics)Metropolitan area networkBinary fileXMLUMLComputer animation
00:51
DatabaseData modelMultiplicationMultiplicationInformation systemsMetropolitan area networkAsynchronous Transfer ModeEndliche ModelltheorieData storage deviceComplex (psychology)Reverse engineeringVirtual machineCanonical ensembleVideoconferencingQuery languagePhysical systemComputer animation
01:50
Data modelGraph (mathematics)MultiplicationDatabaseQuery languageEndliche ModelltheorieProduct (business)Query languageConsistencyDatabase transactionComputer configurationConfiguration spaceScale (map)Computing platformSemantics (computer science)Independence (probability theory)Device driverInjektivitätQuery languageGoodness of fitSlide ruleType theorySuite (music)Graph (mathematics)Complex (psychology)Computer fileMetropolitan area networkIntegrated development environmentInformation systemsHyperbolic functionServer (computing)SoftwareComa BerenicesData acquisition
02:53
Data modelMultiplicationGraph (mathematics)Query languageSubject indexingMathematical analysisDatabaseReal numberVideo trackingSystem programmingComputer networkPersonal digital assistantTransportation theory (mathematics)FreewareData acquisitionMetreMetropolitan area networkUniform resource locatorInformation systemsCuboidPlastikkarteComputer animation
03:57
Subject indexingQuery languageDistanceData structureGoogolString (computer science)Point (geometry)Line (geometry)MultiplicationPolygonStandard deviationFile formatPositional notationObject (grammar)Coordinate systemMereologyInformation systemsPolygonArtificial lifeData acquisitionComputer animation
04:42
Point (geometry)Configuration spaceSubject indexingAttribute grammarField (computer science)Function (mathematics)Constructor (object-oriented programming)Object (grammar)PlastikkarteRow (database)Point (geometry)Element (mathematics)DistanceInformation systemsMetropolitan area networkHausdorff spaceComputer animation
05:36
Attribute grammarConfiguration spaceSubject indexingField (computer science)Function (mathematics)Constructor (object-oriented programming)GeometryPoint (geometry)DistanceQuery languageArtificial lifeInformation systemsHausdorff spaceElement (mathematics)PlastikkartePoint (geometry)DistanceFunction (mathematics)Ferry CorstenMetropolitan area networkTraffic reportingPolygonState of matterComputer animation
06:39
AreaQuery languageFluxExecution unitThomas KuhnGeometryDistanceQuicksortLimit (category theory)Gamma functionInformationDuality (mathematics)Point (geometry)Function (mathematics)Function (mathematics)Metropolitan area networkInformation systemsPolygonDiscrete element methodComputer animation
07:39
PolygonFunction (mathematics)Equals signObject (grammar)Digital filterPolygonInformation systemsFunction (mathematics)Query language1 (number)Computer programmingMetreComputer animation
08:31
Digital filterHydraulic jumpQuery languageUniform resource nameGeometryGEDCOMLimit (category theory)EmailParameter (computer programming)Lie groupElectric currentSynchronizationEnterprise architectureNeighbourhood (graph theory)Content (media)Gamma functionFile Transfer ProtocolIRIS-TPolygonCoordinate systemElement (mathematics)Table (information)Server (computing)State of matterBitMereologyObject (grammar)DistanceNeighbourhood (graph theory)Coordinate systemDemosceneInformation systemsMetropolitan area networkPolygonFerry CorstenWeb 2.0Grand Unified TheoryLevel (video gaming)Computer animation
10:05
Digital filterGeometryIRIS-TOnline helpTable (information)CalculationAxonometric projectionMathematical optimizationSubject indexingUniqueness quantificationSparse matrixData typeSelectivity (electronic)Field (computer science)Point (geometry)DistanceRule of inferenceSummierbarkeitTouchscreenSubject indexingData storage deviceTable (information)Element (mathematics)Metropolitan area networkInformation systemsPlanningComputer animation
11:24
QuicksortLimit (category theory)Neighbourhood (graph theory)Digital filterDuality (mathematics)Simultaneous localization and mappingPolygonResultantInformation systemsMetropolitan area networkComputer animation
12:06
OvalAugmented realityDigital filterIRIS-TMusical ensembleParameter (computer programming)Neighbourhood (graph theory)Maxima and minimaSummierbarkeitTable (information)Duality (mathematics)Execution unitDiscrete element methodMoment (mathematics)PolygonMetropolitan area networkGeometryInformation systemsComputer animation
13:33
Neighbourhood (graph theory)Digital filterGeometryAreaPolygonText editorVisualization (computer graphics)User interfaceHyperbolic functionMetropolitan area networkInformation systemsData acquisitionGrand Unified TheoryComputer animation
14:14
Query languageGraph (mathematics)Graph (mathematics)Computer networkNeighbourhood (graph theory)Digital filterLengthInformation systemsMetropolitan area networkNormal (geometry)Graph (mathematics)Open setPolygonTheory of relativityPhase transitionDiscrete element methodDemo (music)Complex (psychology)Computer animation
16:12
Neighbourhood (graph theory)Digital filterGeometryMetropolitan area networkInformation systemsBinary fileBitComputer animation
16:57
Demo (music)Graph (mathematics)Network topologySource codeIRIS-TNeighbourhood (graph theory)Digital filterMusical ensembleParameter (computer programming)ASCIIThomas KuhnQuery languageGeometryQuicksortDistanceLimit (category theory)Hydraulic jumpMetropolitan area networkDiscrete element methodService (economics)Grand Unified TheoryData storage devicePlug-in (computing)Demo (music)VideoconferencingComputer animation
18:17
Subject indexingQuery languageShape (magazine)SurfacePartition (number theory)NumberPolygonAreaSeries (mathematics)VideoconferencingNumberPoint (geometry)Data structureGeometryForm (programming)Query languageMathematicsCodeMetropolitan area networkArtificial lifeDiscrete element methodBasis <Mathematik>Information systemsSubject indexingComputer animation
20:29
Subject indexingoutputQuad-BaumSpacetimeNetwork topologySemiconductor memoryBitCuboidDiscrete element methodTraffic reportingInformation systemsSpacetimePhase transitionRaster graphicsLevel (video gaming)Subject indexingPhysical systemMetropolitan area networkEigenvalues and eigenvectorsGrand Unified TheoryComputer animationDiagram
22:30
Quad-BaumEntire functionSubject indexingSurfaceSpacetimeString (computer science)Network topologyData structureHash functionAddress spaceBinary filePoint (geometry)Metropolitan area networkDiscrete element methodFerry CorstenInformation systemsPhysical systemString (computer science)Link (knot theory)ChecklistWritingSemiconductor memoryComputer animation
24:36
Hash functionPhysical systemString (computer science)Square numberData modelNumerical digitOpen sourceFreewareMetropolitan area networkString (computer science)Physical systemStreaming mediaInformation systemsAddress spaceIdentity managementComputer fileDifferent (Kate Ryan album)Combinational logicBitComputer animation
25:24
FreewareOpen sourceHash functionString (computer science)Variable (mathematics)SpacetimeSubject indexingElectronic mailing listLink (knot theory)Cartesian coordinate systemMetropolitan area networkTotal S.A.Address spaceComputer programmingString (computer science)Data acquisitionXML
26:12
Source codeOpen sourceFreewareHash functionSubject indexingAddress spaceContent (media)Electronic mailing listMetropolitan area networkInformation systemsData acquisitionDiscrete element methodMoment (mathematics)Range (statistics)ResultantMathematical analysisSocial class2 (number)MereologySpring (hydrology)Computer animation
27:19
Hash functionCodierung <Programmierung>Query languageSpacetimeCurveLimit (category theory)Set (mathematics)Order (biology)Metropolitan area networkInformation systemsGeometryMathematicianRing (mathematics)Form (programming)SpacetimeFunction (mathematics)Covering spaceHash functionResultantSocial classComputer animationDiagramProgram flowchart
28:11
Shape (magazine)CurveSource codeString (computer science)Square numberSurfaceInformation systemsMetropolitan area networkBitSpring (hydrology)Formal grammarDiscrete element methodPhase transitionHausdorff spaceQuadratic equationForm (programming)Engineering drawingDiagramProgram flowchart
29:12
String (computer science)Square numberCurveSurfaceSource codeQuery languageShape (magazine)CircleLevel (video gaming)Information systemsCore dumpDiscrete element methodMetropolitan area networkData acquisitionJSONComputer animationXML
31:16
Query languageShape (magazine)CircleString (computer science)Square numberSource codeCurveSurfaceCharacteristic polynomialLibrary (computing)GeometryFunction (mathematics)Subject indexingMIDIFluxMetropolitan area networkDiscrete element methodComputer animation
31:57
Query languageShape (magazine)CircleMetropolitan area networkCarry (arithmetic)Discrete element methodSubject indexingCartesian coordinate systemQuery languageComputer animation
32:57
Hill differential equationCubeMetropolitan area networkInformation systemsForm (programming)Shape (magazine)Range (statistics)Interactive televisionChain
34:03
Subject indexingCovering spaceCellular automatonShape (magazine)QuicksortInformation retrievalQuery languageLibrary (computing)Digital filterSubject indexingMetropolitan area networkChainInformation retrievalQuery languageShape (magazine)Information systemsBasis <Mathematik>Phase transitionLevel (video gaming)Series (mathematics)Right angleStrategy gameAxiom of choiceComputer animation
35:51
ImplementationDatabaseSubject indexingArtificial lifeOperator (mathematics)Subject indexingStrategy gameLabour Party (Malta)Metropolitan area networkDiscrete element methodPort scannerBinary fileRight angleSet (mathematics)
36:34
Lattice (order)Reading (process)Subject indexingFunctional (mathematics)CASE <Informatik>DebuggerMetropolitan area networkInformation systemsPhysical system
38:09
NumberElectric currentEnterprise architectureType theorySynchronizationStatisticsTransport Layer SecurityConnected spaceString (computer science)Information systemsFormal languageQuery languageSoftwareComputer animation
39:12
VideoconferencingVacuumView (database)FluxDemo (music)Degree (graph theory)WordDemo (music)Game theoryArtificial lifeLecture/ConferenceMeeting/InterviewComputer animation
40:06
Theory of relativityInformation systemsTotal S.A.GeometryInheritance (object-oriented programming)Game theoryPoint (geometry)Library (computing)Link (knot theory)MetreMetropolitan area networkLecture/ConferenceComputer animation
41:35
GoogolGeometryService (economics)Information systemsPhysical systemData acquisitionMetropolitan area networkFunctional (mathematics)Product (business)Lecture/Conference
42:19
Plug-in (computing)Information systemsFormal languageBitSubsetComputer animationLecture/Conference
43:13
Open setInterior (topology)Duality (mathematics)MathematicsComputer-generated imageryEndliche ModelltheorieMultiplicationBenchmarkPairwise comparisonFluxAsynchronous Transfer ModeMenu (computing)System programmingServer (computing)Physical systemDatabaseSoftware testingNormal (geometry)AngleDensity of statesExecution unitSupport vector machineWindowSynchronizationRead-only memoryBitBenchmarkFormal languageInformation systemsComputer animation
44:25
Graph (mathematics)DatabasePhysical systemWeb pageNeighbourhood (graph theory)Digital filterGroup actionEmailGrand Unified TheoryGoodness of fitInformation systemsOpen sourceTouchscreenScripting languageMereologyCodeSlide ruleIntegrated development environmentEscape characterClient (computing)Artificial lifeComputer animation
46:03
SummierbarkeitFormal languageCorrelation and dependenceEndliche ModelltheorieInstallation artMultiplicationSource codeDatabaseGraph (mathematics)Database transactionScale (map)Query languageData modelDatabase normalizationMixed realityGame controllerComputer programmingServer (computing)Web browserProduct (business)Directed setBuildingCodeRepository (publishing)Right angleCodeInformation systemsCore dumpEnterprise architectureOpen setOpen sourceCodeLogic gateConcurrency (computer science)Computer animation
46:58
DatabaseGoogolComputing platformInformationFormal languageProgrammable read-only memoryWeb browserProcess modelingData modelGraph (mathematics)Data storage deviceDatabase transactionQuery languageConsistencyReplication (computing)SpacetimeFreewareSubject indexingAxiom of choiceFinitary relationCorrelation and dependenceAngleSystem programmingAsynchronous Transfer ModeGroup actionGraph (mathematics)IRIS-TGoodness of fitGraph (mathematics)Web 2.0Lecture/ConferenceComputer animation
47:45
Gamma functionInformation managementLink (knot theory)Process (computing)DecimalWeb pageSource codeServer (computing)Scale (map)Database transactionExtension (kinesiology)Formal languageACIDQuery languageInterface (computing)Queue (abstract data type)Hacker (term)DatabaseEndliche ModelltheorieData modelGraph (mathematics)Mobile WebAsynchronous Transfer ModeComputer hardwareModemCache (computing)Information systemsMoment (mathematics)Query languageGraph (mathematics)Traverse (surveying)RankingConnected spaceWeb pageData acquisitionElectronic mailing listConnectivity (graph theory)Lecture/ConferenceMeeting/InterviewComputer animation
48:30
Graph (mathematics)Process (computing)System programmingMenu (computing)Vertex (graph theory)GoogolDevice driverWeb pageAlgorithmQuery languageSummierbarkeitPhysical systemDemonIterationTask (computing)ChainComa BerenicesSingle-precision floating-point formatSource codeDemo (music)Component-based software engineeringEuclidean vectorGraph (mathematics)Tablet computerLink (knot theory)Range (statistics)HyperlinkDirectory serviceLibrary catalogParameter (computer programming)Lemma (mathematics)Electric currentPort scannerTwin primeSource codeFacebookNeuroinformatikInformation systemsSingle-precision floating-point formatMetropolitan area networkShortest path problemConnectivity (graph theory)DistanceWebsiteRankingWeb pageGraph (mathematics)Computer animationLecture/Conference
49:18
System programmingAsynchronous Transfer ModeDatabaseMusical ensembleIRIS-TGraph (mathematics)Query languageGraph (mathematics)GradientInformation systemsHyperbolic functionObject-oriented programmingPoint (geometry)Computer animation
50:33
Graph (mathematics)Range (statistics)Vertex (graph theory)HyperlinkLink (knot theory)Web pageDirectory serviceFormal grammarCantor setVenn diagramParameter (computer programming)AlgorithmMenu (computing)Query languageGraph (mathematics)Set (mathematics)Constructor (object-oriented programming)Formal languageType theoryWindowComa BerenicesDefault (computer science)Variable (mathematics)Maxima and minimaNormed vector spaceServer (computing)Dean numberElectric currentRepresentation (politics)Letterpress printingChainDegree (graph theory)Demo (music)SimulationIRIS-TMusical ensembleHill differential equationInstance (computer science)Inclusion mapTraverse (surveying)Lemma (mathematics)Metropolitan area networkSource codeComputer animation
51:16
Graph (mathematics)Maxima and minimaIRIS-TGraph (mathematics)Server (computing)Variable (mathematics)Electric currentRange (statistics)Simulated annealingQuery languageDefault (computer science)MathematicsInverter (logic gate)Hill differential equationRule of inferenceVertex (graph theory)Local ringSurreal numberExecution unitMIDIQueue (abstract data type)Parameter (computer programming)Atomic nucleusVertex (graph theory)Computer animationSource code
52:57
Parameter (computer programming)Graph (mathematics)Online helpFluxInformation securityNumber theoryEnterprise architectureQuery languageOperations researchRepetitionBlogScripting languageMetropolitan area networkDrop (liquid)Computer animation
53:51
Text editorEnterprise architectureGraph (mathematics)Parameter (computer programming)Element (mathematics)Query languageBlogOpen sourceFreewareInformation systemsScripting languageGoodness of fitComputer animationXML
Transcript: English(auto-generated)
00:07
Special indexing You know Yep, I'm gonna be in a hundred minutes or so. No, it's good. I think okay. How's it done? so we Can I as I've been doing I've had well, I've been kind of a closer. I would have done I'm location
00:26
Plus this yeah, what's the down with that super drift? You know and Like I said, I'm just saying I'm going to be in my domain. Yeah, and it's like a quasi geofunctionality. No, that was all it's cause I ain't getting later Okay, so I guess what's momma can give us minutes to amend a clash yet
00:43
Let's listen to some video sign gift. So in terms of it when I sent this for you, that's on some cover. That's not a panda You know, so I'm gonna be on this multi-modal down front to system and can These s machine allows us to see my last night. It's not you Why am I scared when you can't fester she knows when I can I fucking my dad and I'm not human
01:03
I still can't fun fun. Oh, no That's cool. It's probably is this You support me know it is against these document stores No, as I can't say no I thought to comment on spice on a video comes on cancer to cough not build not gonna miss the Complexes query sparkle and there are two craftsman craft of a craft reverse
01:22
It's not a comment. No can cause you to come in for business with Norton with Canton No, I can't go after pitons. I'm gonna dance up in and This does support me cause it's too late to sing this multimodal where we are. It's not a shame us I know there's a port and so on how to Cough and to text to for text to her with some listening realistic search in your system
01:44
Then I'm back was a cannon kind of dried up among me. I'm sorry. So I'm kind of all is up with it with the wrong way On school artists like to the slides Good auntie DDS causes when I'm in di file vinegar softens its muscle can I know so
02:03
Once the obvious complete heart of how to TV restful the size man comes a little bit. It's got a TV spin. It's in French tiger It's got it when canis our in cluster offsets on them. I can't believe believe you cannot name my suit. No, it's in Sufi The size to scale you don't hold some type on I'm so obvious BB chill if quasi will you be feel a server in at you to me and
02:25
Gonna meet You know, so I'm the courage back. It's nice. Yes. Well, you just can't so it's on an item. I first party had Exact that that material is a graph and support and some washable So my kind of it about complex is a hummer can join some of them come
02:42
Others was my canton is cool. She's in Texas. I didn't send us so I guess like I've been working on it for three months now, but today I'm really interested in geospatial queries. So what are geospatial queries? Do you have any experience with them?
03:02
Do you have any restaurants in your data bank? Or do you still have an app? Do you have any restaurants in the GNN? And then, of course, it's a free data bank. I've been working on it for five years now. And I've been working on it for three years now. So that's why.
03:22
And we're also working on it, so I'm really interested in it. I've been working on it for four years now. So it's very easy to find out how to use it with Geodat. And for what reason? Well, I mean, we've already found a location for you.
03:45
We'll see how the user gets the card. How many people are there? How many people are there? How many people are there? So that's, you know. And this week, we'll talk about geodraton.
04:03
And geodraton is, geodraton can be a polygon, it can be a polypical form, it can be a Korean part. It can be so. As I said, it can be a linear one,
04:23
and the linear symbolizes what you're looking for. And this can be a geodraton, it can be a single one, and if the user gets the card, then it works. No, it can't be a geodraton, it works.
04:44
And then, yeah, if the user gets the card, then the user gets the card with a point. So that's what it is. This is an example document, so you can see what it is. No, this is normal. The individual documents are called geojson.
05:01
There are several responses, but you can't see all the objects in a row. So if you're looking for more information, then you can't see anything. So, you know, and I guess we'll do it,
05:21
yeah, and so on. So you can see, you can see the distance, the distance of this geodraton element with the main point. Or, yeah, it's like the point that the user gets the card in the house, so you can see the distance. You can see the distance of the point, you can see the distance.
05:41
The geodraton element is called a polygon, and you can see, is the point that the user gets the card in the house, or is it in the polygon? So you can see, you can see the containment point. Yeah, and so on. Yeah, I think that's enough for now. No,
06:08
no, I don't know what to say. Okay, so let's move on. Here we have a polygon query, or we can say, hey, give me all the
06:21
all the all the all the all the all the polygon, this is all in the state of New York, right? you can say all the all the polygon, or all the
07:46
and you can say this is the polygon. So, that's what you might say, right? We're saying, right, so,
08:01
this is all the SQL queries. So, SQL queries are not the only ones that are the only ones that are the only ones that are the only ones that are in the program. This is why we have a tableau in the collection. You see, we have all the restaurants in the collection, we have the tableau collection, and then there are a whole bunch of
08:21
lots of things, 3 to 3 thousand meters, and then we return this again. This is not a fun thing. Yes, I have a server now.
08:44
One state. So, I have the data collection the one in the neighborhood. So, So with Skeo-Polygon you can see the scene and you can see it on the web, but here you can see it.
09:02
This is an object with coordinates. The coordinates are a part of the longitude of the object. And then you can see a fairy in front of you. You can see it there. You can see it there. And in our web-overflow you can see that it is integrated with OpenStreetMaps.
09:25
So that when you use the UI, you can see it. You can see it. You can also see it in LiveBusiness Intelligence. You can see it in LiveQuery. You can see it there. You can also see it in the distance.
09:40
You can see it in the distance. You can also see it. You can see it. That's not too cool. It's a bit uncomfortable when it's only a few miles away. The tooling is not too cool.
10:06
You can see it. You can also see it in the mirror. You can see it here. You can see it in the screen. You can see it in Live.
10:21
No. I'm not seeing it here. You can see it in the mirror. The UI is fine.
10:41
And this is the same thing. We can't see it live. It's not completely different. All the elements are in the collection. And the table is there. You can see it in the index. You can see it in the explain. You can see it in the explain. You can see it in the milescale. You can see it in the queryplan. You can see it here in the index.
11:01
I don't see it in the collection. It's a bit strange. I don't see it in millions of items. I don't see it in the store. I don't see it in the stores. No. It's in the index. But that's what I'm looking for. How does it work?
11:21
You can see it. I'll show you the results of the results. I'll show you the results. Ah, the containment. The containment is nice because we're looking for a safe place.
11:41
We're looking for all the restaurants in Chinatown. All the restaurants in Calcutta. I don't know. You can't find a polygon. You can't find a safe place. You can't find a polygon. You just have to wait for it. You can't find anything.
12:01
You can't find anything. No. I'm not sure. You can't find anything. You can't find anything. You can't find a polygon. You can't find a place. You can't find a place.
12:20
Ah, there's a function. How does it work? You can't find anything. This place is a Chinatown in Manhattan.
12:45
You can't find anything. You can't find a place. You can't find anything. You can't find anything. You just have to wait for it. You should have to wait for a Chinatown.
13:00
Whatever you want, that's fine. Ok, I'll take it to everyone in my restaurant. You can see the containment. The containment shows that this is the only thing that you can find. Chinatown, that's the health of the city, that's the health of the city, and of course, and return to the city. This is quite an adjoin, isn't it, as well.
13:25
So, it's all clear, I'm ready. Oh, yeah, Intersection, let's have a look at it.
14:10
It's a web-over-flash. Really cool. I can't really talk about graphs. I'm sure you've already seen that. But what I can tell you is that,
14:21
I think, if you can't talk about it, you can't talk about it. And if you talk about it, it's open in graphs. You have to talk to people in your data bank. So, you're probably thinking, I'm talking about a person, and it's all about the restaurant. So, it's the only place you can talk about it. You can't talk about it.
14:44
And the reason is, I'm talking about all restaurants in front of my friends in Long Island City. So, when I talk about it, it's really easy. You can't just say, okay, here's my food. I'm going to eat it.
15:01
It's really gross. You can talk about my table, or you can talk about my connection with people. I'm going to ask Janet, and ask her, hey, I'm talking about the graphs. I can tell you. We're going to talk about it twice. You can't talk about it.
15:22
And this is so different from my friends. And different from my friends. So, I'm going to give the demo to the analyst. And then I'll ask her, okay, you know, all the restaurants in Long Island City,
15:40
and check them out on my phone to see if there are any questions about it. I have a collection with bazookas. I also have the relation of a nose collection, and I'll ask her where we can find it. And I'll ask her,
16:01
okay, so I'll ask her, how do you find a really complex collection? And she'll tell me, and I'll ask her, all the others. You know, I'll ask her, this is the same concept. I'll ask her,
16:20
how do you find it? So, if you're a little bit confused, you'll ask her. I'll ask her,
17:14
and I'll ask her,
17:34
I'll ask her, Or, if you're a little bit confused, And she'll tell you, how do you find it?
18:06
I'm not sure how to explain it, but I'll try to explain it in the next video. Okay, so... I'm not sure how to explain it.
18:21
Okay, so how do we do this? As I said earlier, I'm not sure. When we go there, the NCLC is the one we're going to work on. If we're going to do it next year, the trade is going to be the one we're going to work on. We're going to have to change queries speed,
18:42
because we'll just change the code structure. We'll also change the index, as well as the routing number, to see what's going to happen. Then we'll use the GEO Index, and we'll also change the three sub-cases.
19:01
We'll change those parallel numbers, the numbers you're going to find, and change them to what you expect in the next form. And what caused you to come to this point is the fact that you are the CEO of Json. Then you are the leader of the company, or the partner, or the leader of the union.
19:23
And what really affected you the most, as a general example, was the fact that you are the CEO of the entire company. And the fact that you are the leader of the entire company,
20:23
then it's up to you. But I can't tell you. So, first of all, let's talk about crud trees. When you talk about crud trees, it's a bit like a memory box. For instance, I'm talking about my space,
20:42
so I'm talking about a bunch of crud trees in my pockets. So, when I'm talking about trees, I'm talking about a bunch of crud trees in my pockets. And crud trees have more than four levels,
21:00
so they have more than four levels. And these four trees are now called crud trees. Here, we're talking about the first level, and then in the next level, I'm talking about the first level, and the third level, I'm talking about the second level.
21:22
Okay. Okay. So, we're going to talk about this. So, basically, we're going to talk about this, and then we're going to talk about this one. Yeah. In fact it's just a bit of the answer. In fact it's the answer. Okay, so we're going to talk about it now. We're going to talk about, as we mentioned,
21:41
the index, because we already know how to get rid of this. We already know how to do that. We'll go through it later, and then hopefully we'll find an index that shows what we've got. We have no flesh, and we'll see what happens. You can't see the air-cooling system, but we're pretty sure that it's only two degrees,
22:04
so we'll see if it's only flesh. So then, what do you think, Jassen? Yes, I think so.
22:21
Yes, I think so, I think so. Let's start with the air-cooling system.
23:06
Yes, of course, for the air-cooling system, and the air-cooling system. So, in the factory, we have all of this in memory. And one of the things that I've noticed is that the air-cooling system is not as big as it used to be,
23:22
and that the air-cooling system is not as big as it used to be. What you can see here is that you can't see the air-cooling system, and you can't see the air-cooling system. So, what I'd like to talk about here is that when you cook the air-cooling system,
23:43
you can see that when you're cooking the air-cooling system, you can see that the air-cooling system is not as big as it used to be. And that's why we're talking about it. We're saying, okay, we'll start with one of the air-cooling systems, and we'll start with one of the air-cooling systems,
24:04
and then we'll start with the other one. So, that's why we're talking about it. That's why when you're cooking an air-cooling system, you can't see the air-cooling system, and you can't see the air-cooling system,
24:20
and the air-cooling system is not as big as it used to be. You can't see the air-cooling system, and you can't see the air-cooling system, and you can't see the air-cooling system. And that's the way it's written. You can't see the air-cooling system, and it's not as big as it used to be.
24:41
So, you can see the air-cooling system, and you keep the strings in place. So, you can see the strings, and the identity is a quadrat. And if you don't notice the combination of strings I think that's the only way to do it. But this is the one in the middle. The other prefix is...
25:02
You can use the string to do it in the address. And the other thing is that it's very cool. You can use it in the GEDI file. You can also use it in the data file. You can use it in the data file. You can use it in the data file. And the GEDI file can be used in the GEDI file.
25:24
So the system, as you already said, is a little bit different. You have to work together on one of the right things and you have to build one program. And you have to be able to make that work. For example, if you build a program with a certain address,
25:40
you need to have a base, a base in the right place. You need to have a base in the right place. lexicographic, because it's in the middle of the world. They are also using Google because it's in the middle of the world. I'm not sure about that, but it's in the middle of the world.
26:03
You can't really think of it like that. You're in the middle of the world. Let's see what we can do. Now, what do we need to do now? We need to use pods, right? Pods, for example. There's a lot of content here on the address of the address.
26:20
and you can see that you can see the work. You can also scan the data, you can scan the analysis of the data, and you can find all the points, all the flags, and what you are looking for in an index. And that is a very good result. You can see that the data is set, you can see that it is set in 6 seconds.
26:43
And here we go. And that is the first part. At the moment we are in the first class in Spring. And Spring is not the only class, because Spring means that it is straight away in the list, but in Spring it means that you are not in the state,
27:03
so it is a Spring class. There are a lot of ranges that you can scan. You can see that you can scan for Spring, and that is a really good result. You can see that you can scan for Spring, and you can see that it is straight away in the list. And that is really good. So this way, you can see the limit of geohashes.
27:22
You can see that this is the set order curve. This is not optimal for that. And if you have geohashes, you can say, okay, we are setting this set order curve, and you can see that it is a really good result. So at the moment,
27:41
in the next class, you can see that you can see that you can also, in the next class, find the value of 2d from 1d, and then you can find the hash string, and then you can see that you can find the value in 2d form. And then the mathematical side-space filling.
28:01
So there are some classes from 7 where you find the value of 2d from 1d. So you can see that the set order is set. I think it's more effective than the whole world cover. And this is a little better for you, because you have a little bit of spring. The trick is that it's a little bit more expensive. But I think it's a little bit more effective.
28:25
I think it's a little bit more effective. I think it's a little bit better. The performance is a little bit better. For one, it's a little bit better. I think it's a little bit better. I think it's a little bit better. As I said, it's a little bit more effective.
28:40
The use of this form is a little bit more effective. We have a little bit of practice. We have a little bit more practice. And we have a little bit more practice. In every quadrat of a quadrat, the whole team gets involved. I'm not sure if I am correct,
29:26
That's why the idea is as a way of saying it from here, we are here, and the LFS is one of the most important, because when you are in the zone, you need to work on this core. And finally, you need to work on all of them globally.
29:47
I see that... Yeah. ...there are a lot of solutions to this, Yes.
31:43
I'm not sure if you can see it, but you can see it in the mirror, so you can see what it looks like. Ok, let's move on.
32:10
As you can see, you can see that in the index you can see it, you can see it in the query region. In the query region, you can see that you can see it in the cell, in the quadrant.
32:23
And you can see that everybody has this prefix. As you can see, you can see that it's here, that it's from USA, and that it's from BB or BTC, and you can see that everybody has this prefix. And you can see that it's in the query region.
32:43
In the GDS region, you can see that it's in the range, but it's in the query region. Cool. Ok.
33:03
Yes, I'd like to say something. When you're looking for a shape, a form, you need to have this chain and that's it. You can see the interaction between these two. Of course, if you're looking for a chain, you need to have this chain and that's it.
33:23
You can see that it's in the 5th, right? Yes, and if you're looking for a shape, you need to have this prefix from USA, and you can see that it's in the range. And if you're looking for the next shape, you can see that it's in the range, and if you're looking for a shape,
33:41
you can see that it's in the range. Of course, if you're looking for a shape,
34:07
you need to have this chain and that's it. You need to have this index. And you need to have the retrieval of this query. You need to have this prefix,
34:23
and you need to have this chain and that index. You need to have the candidate, and we're going to use our middle point to find the shape. If you're looking for a shape, you need to have a containment query, and you need to have the middle point to find the shape.
34:42
And you need to have this prefix, because you need to have an index, and you need to have an internal ID, and you need to make sure that it's in the right place. That's what the relative choice is. And you need to make sure that the index is in the right place, and that it's in the right place, and that it's in the right place.
35:33
And we're going to use the intersection, which is a bit complicated. I'm not going to use all of this.
35:41
I'm going to use all of this. I'm going to use all of this, and then I'm going to use all of this. But it's pretty simple to say. Okay, so that's our strategy. The most important thing is to make sure
36:02
that the index is in the right place, and that it's in the right place. The next step is to make sure that the index is in the right place. For example, if you have all of the index, you need to have the containment, and the index is in the right place. Yeah.
36:20
Okay, now. Let's see. Yeah, so we're going to do the first set. We're going to do the first set, and then we're going to do the second set. Okay, now. And... Yeah. Oh, I'm sorry.
36:41
Yeah, I'm sorry. Yeah, okay, now. So the index is in the right place. Okay, so we haven't done that yet. We've done that a few times. So there's a lot of more,
37:03
a lot of more functions that you can do when you're in the right place, or when you're in the right place. So you can do that in the same way as in the GPS system. So the camera doesn't have to do more. That's not the case. So yeah, that's what we're doing here.
37:20
We can't really, we can't really do much more. Yeah. Yeah, yeah, yeah.
38:00
data bank awesome.
38:01
As you... You were at the last one. And the front end is this one. And it is this one. I mean, in allEN and the other ones, it's completely data bank. So it's kind of... I mean, if you're not able to do this one, you'll probably have to do it because now you're on the most important network. So yeah.
38:33
Yeah. Yes, I mean, you can also use Python 3.0 for us.
38:56
Python 3.0 is also available. You can also connect it with the other languages if you want.
39:01
You can also use the queries that I showed you earlier. You can also use Python 3.0 as well. In Python and in StringTune, you can also use Python 3.0. You can also use Python 3.0 as well. I mean, I'm not sure if that's the right word.
39:23
I mean, that's why I'm looking for this demo. I'm not sure why I'm looking for this camera, but it's not too bad. I mean, yeah, it's not too bad, I'm just looking for it. Yeah, yeah, yeah.
40:01
I believe that this is a game that I'll play for a few minutes. It's a very, very expensive game. Yeah. I mean, it's relatively cheap. The game is super fast. And it's super easy to play. And the point of the game is that it's very easy to play. So, if I go to the coordinates, it happens. Yeah.
40:21
Cool. Now we're fine. I thought this was a microphone. Yeah. Let's do it. One point is that the continent is in the first place. Yeah. When you start, you're in the second place.
40:40
But in the middle of the world, you can get more and better. I'm not sure about that. Yeah, I'm not sure about that at all. I mean, I'm not sure about the continent in the first place. I mean, you can get more and better. Yeah, okay. Cool. I'm not sure about that. I'm not sure about that.
41:00
Or the update. I'm not sure about that. Yeah. Yeah, I was just asking about geohash and the S2 library. So, I'm wondering if you have seen the material from the S2 library?
41:27
Yeah. Do you know if you have seen the geohash or if you have seen the S2 library? So, the link to the game is from Google? Yeah, that's a Google product. Okay. So, this geohash, as we already said, is not a direct geohash.
41:43
So, it's very clear that it's not a direct geohash. Yeah, the concept is obvious, but the system is different. Geohash has one problem, right? So, it can also be a random function, right? It can be a complete function. So, if you have two geohashes, the function is not a complete function,
42:00
but the geohashes are complete. So, it can be a geohash function.
42:40
I think the thing you have to understand is that the subset of your features is the most important. And, yeah, because of the scale, you can also use postures. Postures are a little bit more complicated, I would say. And performance, I don't know about postures. I don't know. I'm not sure about postures, but I'm not sure about it.
43:01
I don't understand anything about them. But I don't know about the postures. So, postures are a little bit more complicated than the language I'm using. I'm not sure about the language, but I don't understand anything about them. But yeah, I'm not sure about them. I don't understand anything about postures. But I can understand.
43:31
Postures. Yeah, I think that blur, that blur is...
43:43
Yeah, I'm not sure about that. So, here, that is postures. Yeah, I'm not sure about that. Postures are a little bit more multi-traded, as I said, by the way. I'm not sure about that. But yeah, that's a little bit more complicated. So, one thing about writes, reads.
44:07
I think that I can't, for the future, say that I don't need to write a benchmark. I think that, as I said, it's a little bit more complicated. So, reads are a little bit more complicated than the language I'm using. That's the way I think about it.
44:29
Yeah, good. So, I'm not sure about that. I can't answer for a while.
44:41
There's something in the background. Yeah. I can't answer for a while. I can't talk with the other hand. I'll speak to the other. Maybe the other.
45:01
I'm not sure if you can see it, but you can see the JavaScript on the screen. All of the JavaScripts are completely functional now. You can also see the script. I believe the script is the longest part. The longest part. I mean the JavaScript.
45:23
We also have a... Here are the t-shirts, if you want. Yeah. Yeah. I'm not sure. I'm not sure. I'm not sure. So, I can tell you what we were talking about. We were talking about a new SQL conference.
45:40
It was about 56 years ago. And it wasn't too bright. We talked about what we were talking about. Is that open source? Is that what you're talking about? Well, I'm just going to show you. I'm just going to show you my slides. As you can see, we're completely open source.
46:02
The code is completely open. Of GitHub. We can also be completely open. You can see the GitHub repository right now. We have... Yeah, you can see it right now. We have an open core.
46:22
As you can see, there's a keyframe. We have 14 gates to support. And we also have an enterprise feature. So, you can see it right now. So, the biggest thing is that 49% of the code is completely open source. We have all three of them.
46:42
And... Yeah, it's kind of nice to see that too. Yeah, it's nice. It's nice to know the code. Yeah, it's nice to know the code. We also have a lot of great features. So, we have MongoDB. We also have the Reacting Concurrent. So, I can't tell you why. But... Yeah, so... We have more features. And that's cool.
47:04
Yeah. So... Yeah, let's see. Yeah, good.
47:26
Yeah. Yeah. Well, I can't tell you what we have. I'm not sure if you can see it. We also have...
47:41
We have a small graph. In the web, you can see what we have in the graph. It's the first one in the query. So, normally it's traversed. And then the shortest path is supported. You can see... The graph is already written.
48:00
We have a path. And we're here. As you can see, it's not supported. You can see the page rank. As a page rank, it's connected. You can see that the component is supported in the graph.
48:20
As you can see, it's a complete list. Is that right? No? Ah, yep. As you can see, the graph is already supported. You can see the page rank here.
48:45
Or the single shortest path here. You can see the distance. You can see how the component is connected. You can see how the component is connected.
49:00
Yes, you can see the whole thing. You can see the whole thing in JavaScript. But the site is already supported. We've already done a lot of work in the JavaScript. We've already done a lot of work. But we can't do that. I'll just add a graph. A graph query.
49:22
So, let's add it in the SD collection. You can see that we've already done a lot of work in the SD collection. So, let's add a graph query.
49:47
One, two, three.
50:01
Let's add a start point. You can see that we've already done a lot of work in the SD collection. You can see that we've already done a lot of work in the SD collection. Then, oops.
50:30
I've already done these text characters. I'm just going to change the style of the steps into the next one.
51:08
There we go.
51:34
Awesome. Okay, I'm going to finish this.
51:42
Ooh, my vertex. I don't want to stop there.
52:04
I'm not going to change anything. I'm going to change the vertex. Outbound, yeah.
52:22
That's the thing. I'm not sure. That was me, okay.
52:58
As you can see, we have all the episodes that Alice can watch.
53:02
You can watch it yourself. So, Alice, we have one script that we made. It's called Bobcufund. I don't know if you can see it. You can see it here. We have the script from Alice that we started.
53:20
We have Bobcufund. We have two scripts from Jana and Bob. Alice, Bob and Charlie.
53:40
Oh, we have Dave here. Yeah, okay. So, that's the script. The script is the same as the script from Jana and Bobcufund. Yeah, you're okay.
54:01
The script is a bit fast. We'll see. Good. Do you want to say something or not? Okay, then.
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