Big Data with Python & Hadoop
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| Title | Big Data with Python & Hadoop |
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| Part Number | 104 |
| Number of Parts | 173 |
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| License | 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 and the work or content is shared also in adapted form only under the conditions of this license. |
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| Production Place | Bilbao, Euskadi, Spain |
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| Abstract | Max Tepkeev - Big Data with Python & Hadoop
Big Data - these two words are heard so often nowadays. But what
exactly is Big Data ? Can we, Pythonistas, enter the wonder world of
Big Data ? The answer is definitely "Yes".
This talk is an introduction to the big data processing using Apache
Hadoop and Python. We'll talk about Apache Hadoop, it's concepts,
infrastructure and how one can use Python with it. We'll compare the
speed of Python jobs under different Python implementations, including
CPython, PyPy and Jython and also discuss what Python libraries are
available out there to work with Apache Hadoop.
This talk is intended for beginners who want to know about Hadoop and
Python or those who are already working with Hadoop but are wondering
how to use it with Python or how to speed up their Python jobs. |
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