Apache Spark

Packt Publishing, 2017. — 323 p. — ISBN: 978-1-78528-345-1. Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial The purpose of machine learning is to build systems that learn from data. Being able to understand trends and patterns in complex data is critical to success; it is one of the key...

Packt Publishing, 2017. — 296 p. — ASIN B071VVFDMP. True PDF +Sample files Key Features Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Book Description Frank Kane's Taming Big Data with Apache Spark...

Packt Publishing, 2017. — 296 p. — ASIN B071VVFDMP. +Sample files Key Features Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Book Description Frank Kane's Taming Big Data with Apache Spark and...

Packt Publishing, 2017. — 296 p. — ASIN B071VVFDMP. +Sample files Key Features Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Book Description Frank Kane's Taming Big Data with Apache Spark and...

Packt Publishing Ltd., Birmingham, UK, 2016. — 325 p. — ISBN: 9781785884696. A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets,...