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Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition Krishna Sankar, Holden Karau

(ebook) (audiobook) (audiobook) Książka w języku 1
Fast Data Processing with Spark 2. Accelerate your data for rapid insight  - Third Edition Krishna Sankar, Holden Karau - okladka książki

Fast Data Processing with Spark 2. Accelerate your data for rapid insight  - Third Edition Krishna Sankar, Holden Karau - okladka książki

Fast Data Processing with Spark 2. Accelerate your data for rapid insight  - Third Edition Krishna Sankar, Holden Karau - audiobook MP3

Fast Data Processing with Spark 2. Accelerate your data for rapid insight  - Third Edition Krishna Sankar, Holden Karau - audiobook CD

Autorzy:
Krishna Sankar, Holden Karau
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
274
Dostępne formaty:
     PDF
     ePub
     Mobi
When people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it’s unsurprising that it’s becoming popular with data analysts and engineers everywhere.
Beginning with the fundamentals, we’ll show you how to get set up with Spark with minimum fuss. You’ll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we’ll make sure you know exactly how to apply your knowledge.
You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that’s not enough, you’ll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We’ll also make sure you’re confident and prepared for graph processing, as you learn more about the GraphX API.

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O autorach książki

Krishna Sankar is an AI data scientist with Volvo Cars focusing on autonomous vehicles. Previously, he was the chief data scientist at blackarrow, where he was focusing on optimizing user experience via inference, intelligence, and interfaces. He was the director of a data science/bioinformatics startup and also worked as a distinguished engineer at Cisco. He has been speaking at various conferences as well as guest lecturing at the Naval Postgraduate School. His other passion is Lego Robotics. You'll find him at the St.Louis FLL World Competition as the robot design judge.
Holden Karau is a software development engineer and is active in the open source. She has worked on a variety of search, classification, and distributed systems problems at IBM, Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a bachelor's of mathematics degree in computer science. Other than software, she enjoys playing with fire and hula hoops, and welding.

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Packt Publishing - inne książki

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