Big Data Computing in The Apache Hadoop

Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media

Martin Atzmueller and Alvin Chin, "Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media"
English | ISBN: 3319290088 | 2016 | 200 pages | PDF | 14 MB

Big Data Computing  eBooks & eLearning

Posted by arundhati at April 23, 2014
Big Data Computing

Rajendra Akerkar, "Big Data Computing"
2014 | ISBN-10: 1466578378 | 564 pages | PDF | 23 MB

Advances in Big Data: Proceedings of the 2nd INNS Conference on Big Data (Repost)  eBooks & eLearning

Posted by Maroutan at Jan. 13, 2017
Advances in Big Data: Proceedings of the 2nd INNS Conference on Big Data (Repost)

Advances in Big Data: Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece - Plamen Angelov & Yannis Manolopoulos & Lazaros Iliadis & Asim Roy & Marley Vellasco
English | 2016 | 348 Pages | ISBN: 3319478974 | PDF | 29.79 MB

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management)…

Data Science and Big Data Computing  eBooks & eLearning

Posted by naag at Jan. 3, 2017
Data Science and Big Data Computing

Data Science and Big Data Computing: Frameworks and Methodologies
Springer | Software Engineering | August 6, 2016 | ISBN-10: 3319318594 | 332 pages | pdf | 5.34 mb

The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era  eBooks & eLearning

Posted by hill0 at Jan. 2, 2017
The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era

The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era by Amir M. Rahmani
English | 6 Feb. 2017 | ISBN: 3319315943 | 347 Pages | PDF | 11.98 MB

This book presents the state-of-the art of one of the main concerns with microprocessors today, a phenomenon known as "dark silicon". Readers will learn how power constraints (both leakage and dynamic power) limit the extent to which large portions of a chip can be powered up at a given time, i.e. how much actual performance and functionality the microprocessor can provide.
Pro Hadoop Data Analytics: Designing and Building Big Data Systems using the Hadoop Ecosystem

Pro Hadoop Data Analytics: Designing and Building Big Data Systems using the Hadoop Ecosystem by Kerry Koitzsch
English | 8 Feb. 2017 | ISBN: 1484219090 | 292 Pages | PDF | 22.09 MB

Learn advanced analytical techniques and leverage existing toolkits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems which go beyond the basics of classification, clustering, and recommendation.
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (2016)

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~67.7 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 06:14:15 | 505 MB
Genre: eLearning Video / Science, Bioinformatics

The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic manipulations such as knockdown or overexpression of single genes; manipulation of the extracellular microenvironment conditions, for example, growing cells on different surfaces, and more.

Big Data Analytics with Spark and Hadoop  eBooks & eLearning

Posted by Grev27 at Oct. 6, 2016
Big Data Analytics with Spark and Hadoop

Venkat Ankam, "Big Data Analytics with Spark and Hadoop"
English | ISBN: 1785884697 | 2016 | PDF/EPUB/MOBI | 309 pages | 7 MB/8 MB/12 MB

Data Science and Big Data Computing  eBooks & eLearning

Posted by Underaglassmoon at July 8, 2016
Data Science and Big Data Computing

Data Science and Big Data Computing: Frameworks and Methodologies
Springer | Software Engineering | August 6, 2016 | ISBN-10: 3319318594 | 332 pages | pdf | 5.34 mb

Editors: Mahmood, Zaigham (Ed.)
Reviews the latest research and practice in data science and big data
Discusses tools and techniques for big data storage and analytics
Describes the frameworks relevant to data science, and their application

Big Data Analytics with R and Hadoop (Repost)  eBooks & eLearning

Posted by tukotikko at July 15, 2015
Big Data Analytics with R and Hadoop (Repost)

Big Data Analytics with R and Hadoop By Vignesh Prajapati
2013 | 238 Pages | ISBN: 178216328X | EPUB, MOBI, PDF | 16 MB