Architect And Build Big Data Applications

Big Data Applications and Use Cases  eBooks & eLearning

Posted by Underaglassmoon at May 24, 2016
Big Data Applications and Use Cases

Big Data Applications and Use Cases
Springer | Computer Science | June 19, 2016 | ISBN-10: 3319301446 | 214 pages | pdf | 5.9 mb

Hung, Patrick C. K. (Ed.)
Outlines different use cases for big data applications and technologies in supporting business intelligence, a cross discipline of computer science and business
Includes contributions from leading researchers and practitioners, providing readers with a theoretical and practical understanding of the challenges facing big data today and beyond
Surveys big data and dataset core concepts and principles

Sublinear Algorithms for Big Data Applications  

Posted by Underaglassmoon at July 20, 2015
Sublinear Algorithms for Big Data Applications

Sublinear Algorithms for Big Data Applications
Springer | Computer Science | Oct. 12 2015 | ISBN-10: 3319204475 | 85 pages | pdf | 1.89 mb

by Dan Wang (Author), Zhu Han (Author)
The Accidental Data Scientist: Big Data Applications and Opportunities for Librarians and Information Professionals

The Accidental Data Scientist: Big Data Applications and Opportunities for Librarians and Information Professionals by Amy Affelt
English | Jan 26, 2015 | ISBN: 1573875112 | 224 Pages | EPUB/MOBI/AZW3/PDF (Converted) | 8 MB

Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century."

Sublinear Algorithms for Big Data Applications (Repost)  

Posted by happy4all at Nov. 20, 2015
Sublinear Algorithms for Big Data Applications (Repost)

Sublinear Algorithms for Big Data Applications By Dan Wang, Zhu Han
2015 | 100 Pages | ISBN: 3319204475 | PDF | 2 MB

Sublinear Algorithms for Big Data Applications (repost)  

Posted by arundhati at Sept. 20, 2015
Sublinear Algorithms for Big Data Applications (repost)

Dan Wang, Zhu Han, "Sublinear Algorithms for Big Data Applications"
2015 | ISBN-10: 3319204475 | 85 pages | PDF | 2 MB
Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models (repost)

Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models by Keith Holdaway
English | 2014 | ISBN: 1118779312 | 364 pages | PDF | 13,5 MB
Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models

Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models by Keith Holdaway
English | 2014 | ISBN: 1118779312 | 364 pages | PDF | 13,5 MB
Big Data: Principles and best practices of scalable realtime data systems

Big Data: Principles and best practices of scalable realtime data systems by James Warren
English | 10 May 2015 | ISBN: 1617290343 | 328 Pages | EPUB/MOBI/PDF (True) | 23.91 MB

Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.

Scaling Big Data with Hadoop and Solr  

Posted by AlenMiler at Aug. 10, 2015
Scaling Big Data with Hadoop and Solr

Scaling Big Data with Hadoop and Solr - Second Edition by Hrishikesh Vijay Karambelkar
English | 30 Apr. 2015 | ISBN: 1783553391 | 166 Pages | EPUB/MOBI/PDF (True) | 21.41 MB

This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is required.
Big Data Meets Little Data: Basic Hadoop To Android And Arduino With The Cloud, Sas And Apache Open Source

Big Data Meets Little Data: Basic Hadoop To Android And Arduino With The Cloud, Sas And Apache Open Source by Keith Jones
English | May 22, 2015 | ASIN: B00Y5TG3LC | 51 Pages | EPUB/MOBI | 711.5 KB/809.97 KB

SASĀ® has been an early leader in Big Data technology architecture to more easily integrate across system platforms for development of processes based on improvement of Apache Open Source projects for Hadoop and MapReduce, Cassandra, and other Big Data platforms.