Apache Spark in 24 Hours, Sams Teach Yourself

Apache Spark in 24 Hours, Sams Teach Yourself

By: Jeffrey Aven (author)Paperback

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Apache Spark is rapidly becoming the preferred computing engine for Big Data systems. It's fast, fast, scalable, fault-tolerant, and exceptionally flexible and extensible. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to successfully build practical Spark solutions. Each short, easy lesson builds on all that's come before: you'll learn all of Spark's essentials, and extend it to meet your unique challenges. Apache Spark in 24 Hours, Sams Teach Yourself covers all this, and much more: *What Apache Spark does, and how it fits into the Big Data landscape*How to deploy Spark local or in the cloud, and use the Spark Cluster Architecture*How to program Spark applications with Scala, functional Python, and the Spark API*How to use RDDs for caching, persistence, and output*How to use Spark with both SQL and NoSQL*How to work with advanced Spark programming techniques and common processing patterns*How to extend spark with streaming, machine learning, R, and Sparkling Water*How to manage Spark, extend it, and improve its performance*Where Spark is headed, and how to prepare for the future Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Spark to solve a wide spectrum of Big Data problems.

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About Author

Jeffrey Aven is a big data consultant and instructor based in Melbourne, Australia. Jeff has an extensive background in data management and several years of experience consulting and teaching in the areas of Hadoop, HBase, Spark, and other big data ecosystem technologies. Jeff has won accolades as a big data instructor and is also an accomplished consultant who has been involved in several high-profile, enterprise-scale big data implementations across different industries in the region.


Hour 1. Introducing Apache Spark Hour 2. Spark and the Big Data Landscape Hour 3. Deploying Spark Hour 4. Spark Cluster Architecture Hour 5. Spark Programming Basics Hour 6. Scala Programming Primer Hour 7. Functional Python Programming Hour 8. MapReduce Revisited Hour 9. The Spark API (Transformations and Actions) Hour 10. RDDs: Caching, Persistence and Output Hour 11. Advanced Spark Programming Hour 12. Using SQL with Spark Hour 13. Common Processing Patterns in Spark Hour 14. Spark Streaming Hour 15. Spark and R Hour 16. Machine Learning in Spark Hour 17. Sparkling Water (H20 and Spark) Hour 18. Managing Spark Hour 19. Extending Spark Hour 20. Improving Spark Performance Hour 21. Spark in the Cloud Hour 22. Spark and NoSQL using Apache Cassandra Hour 23. Spark and Message Queues Hour 24. The Future for Spark

Product Details

  • publication date: 24/08/2016
  • ISBN13: 9780672338519
  • Format: Paperback
  • Number Of Pages: 445
  • ID: 9780672338519
  • weight: 1000
  • ISBN10: 0672338513

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