{"product_id":"practical-apache-spark-using-the-scala-api-9781484236512","title":"Practical Apache Spark: Using the Scala API","description":"Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. \u003ci\u003ePractical Apache Spark\u003c\/i\u003e also covers the integration of Apache Spark with Kafka with examples. You'll follow a learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. \u003cbr\u003eOn completion, you'll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You'll also become familiar with machine learning algorithms with real-time usage.\u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eDiscover the functional programming features of Scala\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUnderstand the completearchitecture of Spark and its components\u003c\/li\u003e\n\u003cli\u003eIntegrate Apache Spark with Hive and Kafka \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUse Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with different machine learning concepts and libraries using Spark's MLlib packages\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eDevelopers and professionals who deal with batch and stream data processing. \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Subhashini Chellappan,Dharanitharan Ganesan\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Apress\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/13\/2018\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 280\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.15lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.62d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781484236512\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eSubhashini Chellappan is a technology enthusiast with expertise in the big data and cloud space. She has rich experience in both academia and the software industry. Her areas of interest and expertise are centered on business intelligence, big data analytics and cloud computing.\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eDharanitharan Ganesan is a senior analyst with five years of experience in IT. He has a high level of exposure and experience in big data - Apache Hadoop, Apache Spark and various Hadoop ecosystem components. He has a proven track record of improving efficiency and productivity through the automation of various routine and administrative functions in business intelligence and big data technologies. His areas of interest and expertise are centered on machine learning algorithms, statistical modelling and predictive analysis.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e","brand":"Apress","offers":[{"title":"Paperback","offer_id":45322302849139,"sku":"9781484236512","price":59.95,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_93a47e68-3a6e-47a5-ac06-cbbc03991951.jpg?v=1786019253","url":"https:\/\/bookstorenmore.com\/en-de\/products\/practical-apache-spark-using-the-scala-api-9781484236512","provider":"Bookstore N More","version":"1.0","type":"link"}