Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series)

Amazon.com Price: $44.99 (as of 01/05/2019 14:58 PST- Details)

Description

Spark for Data Professionals introduces and solidifies the concepts at the back of Spark 2.x, teaching working developers, architects, and data professionals exactly find out how to build practical Spark solutions. Jeffrey Aven covers all aspects of Spark development, including basic programming to SparkSQL, SparkR, Spark Streaming, Messaging, NoSQL and Hadoop integration. Each and every chapter presents practical exercises deploying Spark on your local or cloud environment, plus programming exercises for building real applications. Unlike other Spark guides, Spark for Data Professionals explains the most important concepts step by step, assuming no extensive background as an open source developer. It provides a complete foundation for quickly progressing to more advanced data science and machine learning topics. This guide will let you:

  • Understand Spark basics if you want to make you a better programmer and cluster “citizen”
  • Master Spark programming techniques that maximize your productivity
  • Choose the suitable approach for Each and every problem
  • Make essentially the most of built-in platform constructs, including broadcast variables, accumulators, effective partitioning, caching, and checkpointing
  • Leverage powerful tools for managing streaming, structured, semi-structured, and unstructured data

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