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Fast Data Processing with Spark - Second Edition

More Information
Learn
  • Install and set up Spark on your cluster
  • Prototype distributed applications with Spark's interactive shell
  • Learn different ways to interact with Spark's distributed representation of data (RDDs)
  • Query Spark with a SQL-like query syntax
  • Effectively test your distributed software
  • Recognize how Spark works with big data
  • Implement machine learning systems with highly scalable algorithms
About

Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), large-scale graph processing and analysis (GraphX), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big datasets.

Fast Data Processing with Spark - Second Edition covers how to write distributed programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API to developing analytics applications and tuning them for your purposes.

Features
  • Develop a machine learning system with Spark’s MLlib and scalable algorithms
  • Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
  • This is a step-by-step tutorial that unleashes the power of Spark and its latest features
Page Count 184
Course Length 5 hours 31 minutes
ISBN 9781784392574
Date Of Publication 30 Mar 2015

Authors

Holden Karau

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.

Krishna Sankar

Krishna Sankar is a Senior Specialist—AI Data Scientist with Volvo Cars focusing on Autonomous Vehicles. His earlier stints include Chief Data Scientist at http://cadenttech.tv/, Principal Architect/Data Scientist at Tata America Intl. Corp., Director of Data Science at a bioinformatics startup, and as a Distinguished Engineer at Cisco. He has been speaking at various conferences including ML tutorials at Strata SJC and London 2016, Spark Summit, Strata-Spark Camp, OSCON, PyCon, and PyData, writes about Robots Rules of Order, Big Data Analytics - Best of the Worst, predicting NFL, Spark, Data Science, Machine Learning, Social Media Analysis as well as has been a guest lecturer at the Naval Postgraduate School. His occasional blogs can be found at https://doubleclix.wordpress.com/. His other passion is flying drones (working towards Drone Pilot License (FAA UAS Pilot) and Lego Robotics - you will find him at the St.Louis FLL World Competition as Robots Design Judge.