Professional Hadoop (Wrox)
Wednesday, 01 February 2017

This is a book designed to offer experienced developers the means to use Apache Hadoop in real–world settings. Benoy Antony and his co-authors are a team of certified Hadoop developers, committers, and Summit speakers, and they cover key aspects of Hadoop technology and the processing of large data sets. The book is designed for the professional developer, skipping over the basics of database development to get you acquainted with the framework′s processes and capabilities right away.

<ASIN:111926717X>

Each key Hadoop component is covered individually, building to the creation of a sample application that brings all of the pieces together to show Hadoop as a major big data solution. Coverage includes everything from storage and security to computing and user experience, with guidance on integrating other software.

Authors: Benoy Antony, Konstantin Boudnik, Cheryl Adams, Branky Shao, Cazen Lee and Kai Sasaki

Publisher: Wrox
Date: May 2016
Pages: 216
ISBN: 978-1119267171
Print: 111926717X
Kindle: B01F69Z1PS
Audience: Professional Database Developers
Level: Advanced
Category: Data Science

 

  • Configure storage, UE, and in–memory computing
  • Integrate Hadoop with other programs including Kafka and Storm
  • Master the fundamentals of Apache Big Top and Ignite
  • Build robust data security with expert tips and advice

For recommended titles on Hadoop and related topics see Reading Your Way Into Big Data in our  Programmers Bookshelf section.

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SQL Server Advanced Troubleshooting and Performance Tuning (O'Reilly)

Author: Dmitri Korotkevitch
Publisher: O'Reilly
Pages: 497
ISBN: 978-1098101923
Print:1098101928
Kindle: B0B197NYD7
Audience: DBAs & database devs
Rating: 5
Reviewer: Ian Stirk

This book aims to improve the performance of your SQL Servers, how does it fare?



Classic Computer Science Problems in Python

Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Level: Intermediate
Audience: Python developers
Category: Python
Rating: 4
Reviewer: Mike James
Classic algorithms in Python - the world's favourite language.


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