Code: 18936354
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 ... more
English
34.82 €
RRP: 46.46 €
You save 11.64 €
Availability:
50/50
We think title might be available. Upon your order we will do our best to get it within 6 weeks.
Enter your e-mail address and once book will be available,
we will send you a message. It's that simple.
You get 84 loyalty points
Book synopsis
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. What You Will Learn Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library Who This Book Is For Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.
Book details
Book category Books in English Computing & information technology Databases Data mining
34.82 €
English
Collection points Bratislava a 12742 dalších
Copyright ©2008-26 najlacnejsie-knihy.sk All rights reservedPrivacyCookies
25488 collection points
Delivery 2.99 €
02/210 210 99 (8-15.30h)Shopping cart ( Empty )