Fast Data Processing with Spark Perform real time analytics using Spark in a fast distributed and scalable way 2nd Edition by Krishna Sankar,Holden Karau ISBN 178439257X 978-1784392574

Fast Data Processing With Spark: Perform Real-time Analytics Using Spark in a Fast, Distributed, and Scalable Way 2nd Edition by Krishna Sankar, Holden Karau – Ebook PDF Instant Download/Delivery: 178439257X, 978-1784392574

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Product details:

ISBN 10: 178439257X

ISBN 13: 978-1784392574 

Author: Krishna Sankar, Holden Karau

Fast Data Processing with Spark (2nd Edition) by Krishna Sankar is a practical guide that helps readers harness the full power of Apache Spark for real-time and large-scale data processing. The book dives into setting up Spark, writing and running applications, and using Spark’s core components including RDDs, Spark SQL, and MLlib.

It is designed for data engineers, analysts, and developers who want to build fast, distributed applications capable of processing massive datasets efficiently. With clear examples and step-by-step instructions, the book also covers advanced topics such as deploying on EC2, integrating with HBase and Parquet, and performing machine learning tasks with Spark’s MLlib.

Whether you’re new to Spark or looking to enhance your skills, this edition provides updated insights and hands-on techniques for making the most of Spark’s ecosystem in a scalable and high-performance way.

Table of contents:

Chapter 1: Installing Spark and Setting up your Cluster
Chapter 2: Using the Spark Shell
Chapter 3: Building and Running a Spark Application
Chapter 4: Creating a SparkContext
Chapter 5: Loading and Saving Data in Spark
Chapter 6: Manipulating your RDD
Chapter 7: Spark SQL
Chapter 8: Spark with Big Data
Chapter 9: Machine Learning Using Spark MLlib
Chapter 10: Testing
Chapter 11: Tips and Tricks

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Tags: Krishna Sankar, Holden Karau, Fast Data Processing, with Spark Perform real, time analytics using Spark