{"title":"Jeffrey Aven","description":null,"products":[{"product_id":"apache-spark-in-24-hours-sams-teach-yourself-book-jeffrey-aven-9780672338519","title":"Apache Spark in 24 Hours, Sams Teach Yourself","description":"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 RDs 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. 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Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to deploy each key component of a Hadoop platform in your local environment or in the cloud, building a fully functional Hadoop cluster and using it with real programs and datasets. Each short, easy lesson builds on all that's come before, helping you master all of Hadoop's essentials, and extend it to meet your unique challenges. Apache Hadoop in 24 Hours, Sams Teach Yourself covers all this, and much more:              Understanding Hadoop and the Hadoop Distributed File System (HDFS)             Importing data into Hadoop, and process it there             Mastering basic MapReduce Java programming, and using advanced MapReduce API concepts             Making the most of Apache Pig and Apache Hive             Implementing and administering YARN             Taking advantage of the full Hadoop ecosystem             Managing Hadoop clusters with Apache Ambari             Working with the Hadoop User Environment (HUE)             Scaling, securing, and troubleshooting Hadoop environments             Integrating Hadoop into the enterprise             Deploying Hadoop in the cloud             Getting started with Apache Spark       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. 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In this guide, Big Data expert Jeffrey Aven covers all you need to know to leverage Spark, together with its extensions, subprojects, and wider ecosystem.      Aven combines a language-agnostic introduction to foundational Spark concepts with extensive programming examples utilizing the popular and intuitive PySpark development environment. This guide's focus on Python makes it widely accessible to large audiences of data professionals, analysts, and developers-even those with little Hadoop or Spark experience.      Aven's broad coverage ranges from basic to advanced Spark programming, and Spark SQL to machine learning. You'll learn how to efficiently manage all forms of data with Spark: streaming, structured, semi-structured, and unstructured. Throughout, concise topic overviews quickly get you up to speed, and extensive hands-on exercises prepare you to solve real problems.      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