Treffer: Learning Apache Spark 2

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analyticsAbout This BookExclusive guide that covers how to get up and running with fast data processing using Apache SparkExplore and exploit various possibilities with Apache Spark using real-world use cases in this bookWant to perform efficient data processing at real time? This book will be your one-stop solution.Who This Book Is ForThis guide appeals to big data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. Basic familiarity with Java or Scala will be helpful.The assumption is that readers will be from a mixed background, but would be typically people with background in engineering/data science with no prior Spark experience and want to understand how Spark can help them on their analytics journey.What You Will LearnGet an overview of big data analytics and its importance for organizations and data professionalsDelve into Spark to see how it is different from existing processing platformsUnderstand the intricacies of various file formats, and how to process them with Apache Spark.Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager.Learn the concepts of Spark SQL, SchemaRDD, Caching and working with Hive and Parquet file formatsUnderstand the architecture of Spark MLLib while discussing some of the off-the-shelf algorithms that come with Spark.Introduce yourself to the deployment and usage of SparkR.Walk through the importance of Graph computation and the graph processing systems available in the marketCheck the real world example of Spark by building a recommendation engine with Spark using ALS.Use a Telco data set, to predict customer churn using Random Forests.In DetailSpark juggernaut keeps on rolling and getting more and more momentum each day. Spark provides key capabilities in the form of Spark SQL, Spark Streaming, Spark M