Big Data

Management of massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques.

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Books under this sub-category (16 books)

An Introduction to Data Science

Post date: 28 Jun 2016
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science.
 
An Introduction to Data Science

An Introduction to Data Science

Post date: 28 Jun 2016
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science.



Applied Data Science

Post date: 29 Jun 2016
Lecture notes for Applied Data Science course at Columbia University. It focuses more on the statistics edge, while also teaching readers some basic programming skill.
 
Applied Data Science

Applied Data Science

Post date: 29 Jun 2016
Lecture notes for Applied Data Science course at Columbia University. It focuses more on the statistics edge, while also teaching readers some basic programming skill.

Big Data Now: 2015 Edition

Post date: 03 Oct 2016
Recaps the trends, tools, applications, and forecasts of big data. Includes data-driven cultures, data science, data pipelines, big data architecture and infrastructure, the Internet of Things and real time, applications of big data, security, and ethics.
Author(s): O'Reilly Media Inc.
Publication date: 31 Jan 2016
Document Type: Book
Tags: Big Data Data Science
 
Big Data Now: 2015 Edition

Big Data Now: 2015 Edition

Post date: 03 Oct 2016
Recaps the trends, tools, applications, and forecasts of big data. Includes data-driven cultures, data science, data pipelines, big data architecture and infrastructure, the Internet of Things and real time, applications of big data, security, and ethics.
Author(s): O'Reilly Media Inc.
Publication date: 31 Jan 2016
Document Type: Book
Tags: Big Data Data Science


Big Data on Real-World Applications

Post date: 10 Nov 2016
Describes the importance of the Big Data era and how existing information systems are required to be adapted to face up the problems derived from the management of massive datasets.
Editor(s): Alberto Cano José María Luna Sebastian Ventura Soto
Publication date: 20 Jul 2016
License: Creative Commons Attribution 3.0 Unported
Document Type: Book
Tags: Big Data
 
Big Data on Real-World Applications

Big Data on Real-World Applications

Post date: 10 Nov 2016
Describes the importance of the Big Data era and how existing information systems are required to be adapted to face up the problems derived from the management of massive datasets.
Editor(s): Alberto Cano José María Luna Sebastian Ventura Soto
Publication date: 20 Jul 2016
License: Creative Commons Attribution 3.0 Unported
Document Type: Book
Tags: Big Data


Building Data Science Teams

Post date: 09 Apr 2016
In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
Author(s): DJ Patil
Publication date: 01 Sep 2011
Tags: Big Data Data Science
 
Building Data Science Teams

Building Data Science Teams

Post date: 09 Apr 2016
In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
Author(s): DJ Patil
Publication date: 01 Sep 2011
Tags: Big Data Data Science


Data-Intensive Text Processing with MapReduce

Post date: 13 Apr 2016
This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning.
Author(s): Chris Dyer Jimmy Lin
Publication date: 30 Apr 2010
Tags: Big Data Machine Learning
 
Data-Intensive Text Processing with MapReduce

Data-Intensive Text Processing with MapReduce

Post date: 13 Apr 2016
This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning.
Author(s): Chris Dyer Jimmy Lin
Publication date: 30 Apr 2010
Tags: Big Data Machine Learning


Disruptive Possibilities: How Big Data Changes Everything

Post date: 03 Oct 2016
Provides an historically-informed overview of big data through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds.
Author(s): Jeff Needham
Publication date: 08 Jul 2013
Document Type: Book
Tags: Big Data Data Science
 
Disruptive Possibilities: How Big Data Changes Everything

Disruptive Possibilities: How Big Data Changes Everything

Post date: 03 Oct 2016
Provides an historically-informed overview of big data through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds.
Author(s): Jeff Needham
Publication date: 08 Jul 2013
Document Type: Book
Tags: Big Data Data Science


Foundations of Data Science

Post date: 29 Sep 2016
Provides the background needed for a modern theoretical course in computer science.
Author(s): John Hopcroft Ravindran Kannan
Publication date: 11 Apr 2014
Document Type: Textbook
Tags: Big Data Data Science Introduction to Computer Science Machine Learning
 
Foundations of Data Science

Foundations of Data Science

Post date: 29 Sep 2016
Provides the background needed for a modern theoretical course in computer science.
Author(s): John Hopcroft Ravindran Kannan
Publication date: 11 Apr 2014
Document Type: Textbook
Tags: Big Data Data Science Introduction to Computer Science Machine Learning


Hadoop and Kerberos: The Madness Beyond the Gate

Post date: 10 Apr 2016
An introduction to Hadoop and Kerberos.
Author(s): Steve Loughran
Publication date: 01 Mar 2016
License: Apache License
Tags: Big Data
 
Hadoop and Kerberos: The Madness Beyond the Gate

Hadoop and Kerberos: The Madness Beyond the Gate

Post date: 10 Apr 2016
An introduction to Hadoop and Kerberos.
Author(s): Steve Loughran
Publication date: 01 Mar 2016
License: Apache License
Tags: Big Data


Hadoop illuminated

Post date: 02 Jun 2016
An introduction to Big Data and Apache Hadoop. This book aims to make Hadoop knowledge accessible to a wider audience, not just to the highly technical.
 
Hadoop illuminated

Hadoop illuminated

Post date: 02 Jun 2016
An introduction to Big Data and Apache Hadoop. This book aims to make Hadoop knowledge accessible to a wider audience, not just to the highly technical.

Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project

Post date: 26 Oct 2016
Presents an overview of the results of the 4-year research project 'LOD2 – Creating Knowledge out of Interlinked Data', the goal of which was realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system.
 
Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project

Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project

Post date: 26 Oct 2016
Presents an overview of the results of the 4-year research project 'LOD2 – Creating Knowledge out of Interlinked Data', the goal of which was realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system.

Planning for Big Data: A CIO's Handbook to the Changing Data Landscape

Post date: 10 Apr 2016
The aim of this book is to help you understand what big data is, why it matters, and where to get started. If you’re already working with big data, hand this book to your colleagues or executives to help them better appreciate the issues and possibilities
Author(s): Edd Dumbill
Publication date: 04 Sep 2012
Tags: Big Data
 
Planning for Big Data: A CIO's Handbook to the Changing Data Landscape

Planning for Big Data: A CIO's Handbook to the Changing Data Landscape

Post date: 10 Apr 2016
The aim of this book is to help you understand what big data is, why it matters, and where to get started. If you’re already working with big data, hand this book to your colleagues or executives to help them better appreciate the issues and possibilities
Author(s): Edd Dumbill
Publication date: 04 Sep 2012
Tags: Big Data


R Programming for Data Science

Post date: 04 Aug 2016
Covers the fundamentals of R programming, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization.
Author(s): Roger D. Peng
Publication date: 03 Aug 2016
Document Type: Book
Tags: Big Data Data Science R Statistics
 
R Programming for Data Science

R Programming for Data Science

Post date: 04 Aug 2016
Covers the fundamentals of R programming, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization.
Author(s): Roger D. Peng
Publication date: 03 Aug 2016
Document Type: Book
Tags: Big Data Data Science R Statistics


Statistical Foundations of Machine Learning

Post date: 20 Apr 2016
This handbook aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data.
 
Statistical Foundations of Machine Learning

Statistical Foundations of Machine Learning

Post date: 20 Apr 2016
This handbook aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data.

The Promise and Peril of Big Data

Post date: 09 Apr 2016
This book explores the positive aspects and the social perils that arise when the ever-rising floods of data being generated by mobile networking, cloud computing and other new technologies meets continued innovations in advanced correlation techniques.
Author(s): David Bollier
Publication date: 31 Jan 2010
License: Creative Commons Attribution-NonCommercial 3.0 United States
Tags: Big Data
 
The Promise and Peril of Big Data

The Promise and Peril of Big Data

Post date: 09 Apr 2016
This book explores the positive aspects and the social perils that arise when the ever-rising floods of data being generated by mobile networking, cloud computing and other new technologies meets continued innovations in advanced correlation techniques.
Author(s): David Bollier
Publication date: 31 Jan 2010
License: Creative Commons Attribution-NonCommercial 3.0 United States
Tags: Big Data


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