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.

Informazioni sull?autore

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.

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