Big Data Analytics with Spark is a step-by-step guide for learning Spark which is an
open-source fast and general-purpose cluster computing framework for large-scale data analysis.
You will learn how to use Spark for different types of big data analytics projects including
batch interactive graph and stream data analysis as well as machine learning. In addition
this book will help you become a much sought-after Spark expert. Spark is one of the hottest
Big Data technologies. The amount of data generated today by devices applications and users is
exploding. Therefore there is a critical need for tools that can analyze large-scale data and
unlock value from it. Spark is a powerful technology that meets that need. You can for example
use Spark to perform low latency computations through the use of efficient caching and
iterative algorithms leverage the features of its shell for easy and interactive Data analysis
employ its fast batch processing and low latency features to process your real time data
streams and so on. As a result adoption of Spark is rapidly growing and is replacing Hadoop
MapReduce as the technology of choice for big data analytics. This book provides an
introduction to Spark and related big-data technologies. It covers Spark core and its add-on
libraries including Spark SQL Spark Streaming GraphX and MLlib. Big Data Analytics with
Spark is therefore written for busy professionals who prefer learning a new technology from a
consolidated source instead of spending countless hours on the Internet trying to pick bits and
pieces from different sources. The book also provides a chapter on Scala the hottest
functional programming language and the program that underlies Spark. You'll learn the basics
of functional programming in Scala so that you can write Spark applications in it. What's more
Big Data Analytics with Spark provides an introduction to other big data technologies thatare
commonly used along with Spark like Hive Avro Kafka and so on. So the book is
self-sufficient all the technologies that you need to know to use Spark are covered. The only
thing that you are expected to know is programming in any language. There is a critical
shortage of people with big data expertise so companies are willing to pay top dollar for
people with skills in areas like Spark and Scala. So reading this book and absorbing its
principles will provide a boost-possibly a big boost-to your career.
