Sams Teach Yourself: Apache Spark in 24 Hours, Sams Teach Yourself by Jeffrey Aven DJV, MOBI, TXT
9780672338519 0672338513 Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark s amazing speed, scalability, simplicity, and versatility. This book s straightforward, step-by-step approach shows you how to deploy, program, optimize, manage, integrate, and extend Spark now, and for years to come. You ll discover how to create powerful solutions encompassing cloud computing, real-time stream processing, machine learning, and more. Every lesson builds on what you ve already learned, giving you a rock-solid foundation for real-world success. Whether you are a data analyst, data engineer, data scientist, or data steward, learning Spark will help you to advance your career or embark on a new career in the booming area of Big Data. Learn how to Discover what Apache Spark does and how it fits into the Big Data landscape Deploy and run Spark locally or in the cloud Interact with Spark from the shell Make the most of the Spark Cluster Architecture Develop Spark applications with Scala and functional Python Program with the Spark API, including transformations and actions Apply practical data engineering/analysis approaches designed for Spark Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output Optimize Spark solution performance Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra) Leverage cutting-edge functional programming techniques Extend Spark with streaming, R, and Sparkling Water Start building Spark-based machine learning and graph-processing applications Explore advanced messaging technologies, including Kafka Preview and prepare for Spark s next generation of innovations 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.", 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.
9780672338519 0672338513 Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark s amazing speed, scalability, simplicity, and versatility. This book s straightforward, step-by-step approach shows you how to deploy, program, optimize, manage, integrate, and extend Spark now, and for years to come. You ll discover how to create powerful solutions encompassing cloud computing, real-time stream processing, machine learning, and more. Every lesson builds on what you ve already learned, giving you a rock-solid foundation for real-world success. Whether you are a data analyst, data engineer, data scientist, or data steward, learning Spark will help you to advance your career or embark on a new career in the booming area of Big Data. Learn how to Discover what Apache Spark does and how it fits into the Big Data landscape Deploy and run Spark locally or in the cloud Interact with Spark from the shell Make the most of the Spark Cluster Architecture Develop Spark applications with Scala and functional Python Program with the Spark API, including transformations and actions Apply practical data engineering/analysis approaches designed for Spark Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output Optimize Spark solution performance Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra) Leverage cutting-edge functional programming techniques Extend Spark with streaming, R, and Sparkling Water Start building Spark-based machine learning and graph-processing applications Explore advanced messaging technologies, including Kafka Preview and prepare for Spark s next generation of innovations 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.", 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.