Learning Spark: Lightning-Fast Big Data Analysis (O'Reilly)
Monday, 02 March 2015

Data in all domains is getting bigger. How can you work with it efficiently? Written by the developers of Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.

<ASIN:1449358624>

Authors: Holden Karau and Andy Konwinski

Publisher: O'Reilly 
Date: February 27, 2015
Pages: 274

ISBN: 9781449358624
Print: 1449358624
Kindle: B00SW0TY8O

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Essential C# 12 (Pearson)

Author: Mark Michaelis
Publisher: Addison-Wesley
Date: December 3, 2023
Pages: 1232
ISBN: 978-0138219512
Print: 0138219516
Kindle: B0CLKY8GNV
Audience: C# developers
Rating: 5
Reviewer: Mike James
The latest edition of a highly recommended book that combines reference and tutorial material.



Microsoft Azure For Dummies, 2nd Edition

Author: Jack A. Hyman
Publisher: For Dummies
Pages: 416
ISBN: 978-1119898061
Print:1119898064
Kindle: B0BNWG1HYK
Audience: Azure novices?!
Rating: 1 or 4.5 (see review)
Reviewer: Ian Stirk

This book aims to provide a gentle yet thorough introduction to Microsoft Azure, how does it fare? 


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