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Data Modeling & Design

Most popular at the top

  • Data Science for Businessby Foster Provost; Tom Fawcett

    O'Reilly Media 2013; US$ 33.99

    Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining... more...

  • Business Analysisby Debra Paul; James Cadle; Donald Yeates; James Cadle; Malcolm Eva; Keith Hindle; Debra Paul; Craig Rollason; Paul Turner; Donald Yeates

    BCS Learning & Development Limited 2014; US$ 48.99

    Business analysts must respond to today's challenges by developing practical, creative and financially sound solutions. They need look no further for the necessary tools. This new edition of the bestselling BA guide includes the impact of Agile, an introduction to business architecture and expanded material on gap analysis and benefits management. more...

  • The Design of Approximation Algorithmsby David P. Williamson; David B. Shmoys

    Cambridge University Press 2011; US$ 52.00

    Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms that find provably near-optimal solutions. more...

  • Microsoft SQL Server 2012 Master Data Services 2/Eby Tyler Graham

    McGraw-Hill Education 2012; US$ 53.00

    Deploy and Maintain an Integrated MDS Architecture Harness your master data and grow revenue while reducing administrative costs. Thoroughly revised to cover the latest MDS features, Microsoft SQL Server 2012 Master Data Services , Second Edition shows how to implement and manage a centralized, customer-focused MDS framework. See how to accurately... more...

  • A Guide to Experimental Algorithmicsby Catherine C. McGeoch

    Cambridge University Press 2012; US$ 41.00

    This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis. more...

  • Matlabby Stormy Attaway

    Elsevier Science 2011; US$ 49.95

    MATLAB: A Practical Introduction to Programming and Problem Solving, Second Edition, is the only book that gives a full introduction to programming in MATLAB combined with an explanation of MATLAB’s powerful functions, enabling engineers to fully exploit the software’s power to solve engineering problems. The text aims to provide readers with the... more...

  • Programming Hiveby Edward Capriolo; Dean Wampler; Jason Rutherglen

    O'Reilly Media 2012; US$ 33.99

    Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set... more...

  • What Is Data Science?by Mike Loukides

    O'Reilly Media 2011; US$ 0.00

    We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies... more...

  • What Is Data Science?by Mike Loukides

    O'Reilly Media 2011; US$ 0.00

    We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies... more...

  • Data Jujitsu: The Art of Turning Data into Productby DJ Patil

    O'Reilly Media 2012; US$ 0.00

    Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu. Learn how to use a problem's "weight" against itself to: Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that... more...