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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Code: The Hidden Language of Computer Hardware and Software 2nd Ed

Top Book 2023
Author: Charles Petzold
Publisher: Microsoft Press
Date: August 2022
Pages: 480
ISBN: 978-0137909100
Print: 0137909101
Kindle: B0B123P5GV
Audience: General
Rating: 5
Reviewer: Mike James
Code! We all need to know about it.



Professional C++, 6th Ed (Wiley)

Author: Marc Gregoire
Publisher: Wiley
Date: February 2024
Pages: 1376
ISBN:978-1394193172
Print:1394193173
Kindle:B0CRXK5191
Audience: C++ developers
Rating: 4
Reviewer: Mike James
Can a book on C++ get any bigger and does it need to?


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