Frank Kane's Taming Big Data with Apache Spark and Python
Frank Kane
Frank Kane’s Taming Big Data with Apache Spark and Python
Frank Kane
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This book will guide you through using Apache Spark and Python to get the most from your data. Starting with setting up Spark, and moving on to analyzing large data sets, and developing and running effective Spark jobs quickly using Python. About This Book * Understand how Spark can be distributed across computing clusters *Develop and run Spark jobs efficiently using Python *A hands-on tutorial with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this course is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, this course will also help you. What You Will Learn * Learn how you can identify the Big Data problems as Spark problems *Install and run Apache Spark on your computer or on a cluster *Analyze large data sets across many CPUs using Spark’s Resilient Distributed Datasets *Implement machine learning on Spark using the MLlib library *Process continuos streams of data in real time using the Spark streaming module *Perform complex network analysis using Spark’s GraphX library *Use Amazon’s Elastic MapReduce service to run your Spark jobs on a cluster In Detail Apache Spark has emerged as the next big thing in the Big Data domain - quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis. This book is your companion to learn Apache Spark in a hands-on manner. Start with understanding how to set up Spark on a single system or on a cluster. From analyzing large data sets using Spark RDD to developing and running effective Spark jobs quickly using Python, this course will teach you everything. Packed with over 15 interactive, fun-filled examples relevant to the real-world, the course will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease.
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