Data Modeling category: 403 books

Cover of SAP Data Services 4.x Cookbook
by Ivan Shomnikov
Language: English
Release Date: July 29, 2016

Delve into the SAP Data Services environment to efficiently prepare, implement, and develop ETL processes About This Book Install and configure the SAP Data Services environment Develop ETL techniques in the Data Services environment Implement real-life examples of Data Services uses through...
Cover of Hadoop: Data Processing and Modelling
by Garry Turkington, Tanmay Deshpande, Sandeep Karanth
Language: English
Release Date: August 31, 2016

Unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets About This Book Conquer the mountain of data using Hadoop 2.X tools The authors succeed in creating a context for Hadoop and its ecosystem Hands-on examples and recipes giving the...
Cover of Java for Data Science
by Richard M. Reese, Jennifer L. Reese
Language: English
Release Date: January 11, 2017

Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications...
Cover of Data Fluency

Data Fluency

Empowering Your Organization with Effective Data Communication

by Zach Gemignani, Chris Gemignani, Richard Galentino
Language: English
Release Date: October 10, 2014

A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering...
Cover of Python Data Science Essentials - Second Edition
by Luca Massaron, Alberto Boschetti
Language: English
Release Date: October 27, 2016

Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the...
Cover of Hands-On Data Science with R

Hands-On Data Science with R

Techniques to perform data manipulation and mining to build smart analytical models using R

by Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
Language: English
Release Date: November 30, 2018

A hands-on guide for professionals to perform various data science tasks in R Key Features Explore the popular R packages for data science Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on examples and...
Cover of Practical Business Intelligence
by Ahmed Sherif
Language: English
Release Date: December 22, 2016

Learn to get the most out of your business data to optimize your business About This Book This book will enable and empower you to break free of the shackles of spreadsheets Learn to make informed decisions using the data at hand with this highly practical, comprehensive guide This book includes...
Cover of Fast Data Processing Systems with SMACK Stack
by Raul Estrada
Language: English
Release Date: December 22, 2016

Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles!About This BookThis highly practical guide shows you how to use the best of the big data technologies to solve your response-critical...
Cover of MySQL 8 for Big Data
by Chintan Mehta, Shabbir Challawala, Jaydip Lakhatariya
Language: English
Release Date: October 20, 2017

Uncover the power of MySQL 8 for Big Data About This Book Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop A comprehensive guide with practical examples on building...
Cover of Confident Data Skills

Confident Data Skills

Master the Fundamentals of Working with Data and Supercharge Your Career

by Kirill Eremenko
Language: English
Release Date: January 3, 2018

Data science is the most exciting skill you can master. Data has dramatically changed how our world works. From entertainment to politics, from technology to advertising and from science to the business world, data is integral and its only limit is our imagination. If you want to have a vibrant and...
Cover of Big Data Now: Current Perspectives from O'Reilly Radar
by O'Reilly Radar Team
Language: English
Release Date: August 30, 2011

This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly...
Cover of Spreadsheets To Cubes (Advanced Data Analytics for Small Medium Business)
by alasdair gilchrist
Language: English
Release Date: July 31, 2017

How can a small medium business build a data analytical platform that is affordable and capable for data science? Business Intelligence and advanced data analytic need not be out with the resources of small medium businesses. Too often Data Science technology is considered to be only advantages and...
Cover of Creating a Data-Driven Organization

Creating a Data-Driven Organization

Practical Advice from the Trenches

by Carl Anderson
Language: English
Release Date: July 23, 2015

What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in...
Cover of Visualizing Data

Visualizing Data

Exploring and Explaining Data with the Processing Environment

by Ben Fry
Language: English
Release Date: December 18, 2007

Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere,...
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