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 (18 books)

[Sign-up required] Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools

Post date: 03 May 2017
A hands-on guide to understanding the nature of your data and turn it into insight. Presents a detailed exploration of the current work in data analysis through self-contained projects.
Publisher: Packt Publishing
Publication date: 22 Oct 2013
Document Type: Book
 
[Sign-up required] Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools

[Sign-up required] Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools

Post date: 03 May 2017
A hands-on guide to understanding the nature of your data and turn it into insight. Presents a detailed exploration of the current work in data analysis through self-contained projects.
Publisher: Packt Publishing
Publication date: 22 Oct 2013
Document Type: Book


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.
Publication date: 31 Dec 2012
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Book
 
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.
Publication date: 31 Dec 2012
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Book


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.
Publication date: 31 Dec 2012
 
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.
Publication date: 31 Dec 2012


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.
Publisher: O’Reilly Media, Inc.
Publication date: 31 Jan 2016
Document Type: Book
 
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.
Publisher: O’Reilly Media, Inc.
Publication date: 31 Jan 2016
Document Type: Book


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.
Publisher: InTech
Publication date: 20 Jul 2016
License: Creative Commons Attribution 3.0 Unported
Document Type: Book
 
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.
Publisher: InTech
Publication date: 20 Jul 2016
License: Creative Commons Attribution 3.0 Unported Document Type: Book


Building Data Science Teams

Post date: 10 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.
Publisher: O’Reilly Media, Inc.
Publication date: 01 Sep 2011
 
Building Data Science Teams

Building Data Science Teams

Post date: 10 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.
Publisher: O’Reilly Media, Inc.
Publication date: 01 Sep 2011


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.
Publisher: Morgan & Claypool Publishers
Publication date: 30 Apr 2010
 
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.
Publisher: Morgan & Claypool Publishers
Publication date: 30 Apr 2010


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.
Publisher: O’Reilly Media, Inc.
Publication date: 08 Jul 2013
Document Type: Book
 
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.
Publisher: O’Reilly Media, Inc.
Publication date: 08 Jul 2013
Document Type: Book


Foundations of Data Science

Post date: 29 Sep 2016
Provides the background needed for a modern theoretical course in computer science.
Publication date: 11 Apr 2014
Document Type: Textbook
 
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.
Publication date: 11 Apr 2014
Document Type: Textbook


Hadoop and Kerberos: The Madness Beyond the Gate

Post date: 11 Apr 2016
An introduction to Hadoop and Kerberos.
Publisher: GitBook
Publication date: 01 Mar 2016
License: Apache License
 
Hadoop and Kerberos: The Madness Beyond the Gate

Hadoop and Kerberos: The Madness Beyond the Gate

Post date: 11 Apr 2016
An introduction to Hadoop and Kerberos.
Publisher: GitBook
Publication date: 01 Mar 2016
License: Apache License


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.

Hadoop with Python

Post date: 21 Mar 2018
With this concise book, you'll learn how to use Python with the Hadoop Distributed File System (HDFS), MapReduce, the Apache Pig platform and Pig Latin script, and the Apache Spark cluster-computing framework.
Publisher: O’Reilly Media, Inc.
Publication date: 19 Oct 2015
Document Type: Book
 
Hadoop with Python

Hadoop with Python

Post date: 21 Mar 2018
With this concise book, you'll learn how to use Python with the Hadoop Distributed File System (HDFS), MapReduce, the Apache Pig platform and Pig Latin script, and the Apache Spark cluster-computing framework.
Publisher: O’Reilly Media, Inc.
Publication date: 19 Oct 2015
Document Type: Book


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.
Publisher: Springer-Verlag GmbH
Publication date: 31 Dec 2014
License: Creative Commons Attribution-NonCommercial 4.0 International
Document Type: Book
 
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.
Publisher: Springer-Verlag GmbH
Publication date: 31 Dec 2014
License: Creative Commons Attribution-NonCommercial 4.0 International Document Type: Book


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

Post date: 11 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
Publisher: O’Reilly Media, Inc.
Publication date: 04 Sep 2012
 
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: 11 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
Publisher: O’Reilly Media, Inc.
Publication date: 04 Sep 2012


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.
Publisher: Leanpub
Publication date: 03 Aug 2016
Document Type: Book
 
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.
Publisher: Leanpub
Publication date: 03 Aug 2016
Document Type: Book


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