Data Modeling category: 403 books

Cover of Intelligent Innovations in Multimedia Data Engineering and Management
by
Language: English
Release Date: September 7, 2018

With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space required, multimedia data is no exception in this regard. Scientists and researchers are investing great effort to discover new space-efficient...
Cover of Clojure Data Analysis Cookbook
by Eric Rochester
Language: English
Release Date: March 25, 2013

Full of practical tips, the "Clojure Data Analysis Cookbook" will help you fully utilize your data through a series of step-by-step, real world recipes covering every aspect of data analysis. Prior experience with Clojure and data analysis techniques and workflows will be beneficial, but not essential.
Cover of Learning SPARQL

Learning SPARQL

Querying and Updating with SPARQL 1.1

by Bob DuCharme
Language: English
Release Date: July 3, 2013

Gain hands-on experience with SPARQL, the RDF query language that’s bringing new possibilities to semantic web, linked data, and big data projects. This updated and expanded edition shows you how to use SPARQL 1.1 with a variety of tools to retrieve, manipulate, and federate data from the public...
Cover of Think Stats

Think Stats

Exploratory Data Analysis

by Allen B. Downey
Language: English
Release Date: October 16, 2014

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single...
Cover of Python: Deeper Insights into Machine Learning
by Sebastian Raschka, David Julian, John Hearty
Language: English
Release Date: August 31, 2016

Leverage benefits of machine learning techniques using Python About This Book Improve and optimise machine learning systems using effective strategies. Develop a strategy to deal with a large amount of data. Use of Python code for implementing a range of machine learning algorithms and techniques. Who...
Cover of Learning Qlikview Data Visualization
by Karl Pover
Language: English
Release Date: September 25, 2013

A practical and fast-paced guide that gives you all the information you need to start developing charts from your data.Learning QlikView Data Visualization is for anybody interested in performing powerful data analysis and crafting insightful data visualization, independent of any previous knowledge of QlikView. Experience with spreadsheet software will help you understand QlikView functions.
Cover of Data Science and Simulation in Transportation Research
by
Language: English
Release Date: December 31, 2013

Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge....
Cover of Guerilla Data Analysis Using Microsoft Excel
by Oz du Soleil, Bill Jelen
Language: English
Release Date: April 1, 2015

This book includes step-by-step examples and case studies that teach users the many power tricks for analyzing data in Excel. These are tips honed by Bill Jelen, “MrExcel,” and Oz do Soleil during their careers run as a financial analyst charged with taking mainframe data and turning it into useful...
Cover of Data Model Patterns: A Metadata Map
by David C. Hay
Language: English
Release Date: July 20, 2010

In recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition...
Cover of The Evolution of Data Products
by Mike Loukides
Language: English
Release Date: September 14, 2011

This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation....
Cover of Designing Data Visualizations

Designing Data Visualizations

Representing Informational Relationships

by Noah Iliinsky, Julie Steele
Language: English
Release Date: September 16, 2011

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to...
Cover of Advanced Analytics with Spark

Advanced Analytics with Spark

Patterns for Learning from Data at Scale

by Sandy Ryza, Uri Laserson, Sean Owen
Language: English
Release Date: June 12, 2017

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems...
Cover of Disruptive Possibilities: How Big Data Changes Everything
by Jeffrey Needham
Language: English
Release Date: May 6, 2013

Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies. Disruptive Possibilities...
Cover of Splunk Best Practices
by Travis Marlette
Language: English
Release Date: September 26, 2016

Design, implement, and publish custom Splunk applications by following best practices About This Book This is the most up-to-date guide on the market and will help you finish your tasks faster, easier, and more efficiently. Highly practical guide that addresses common and not-so-common pain points...
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