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A Manager’s Guide to Data Warehousing

A Manager’s Guide to Data Warehousing

by Laura Reeves
480 Pages · 2009 · 2.7 MB · 3,893 Downloads · New!
" Happiness doesn't result from what we get, but from what we give. ” ― Ben Carson
Real-Time Big Data Analytics
by Mike Barlow
30 Pages · 2013 · 4.7 MB · 1,418 Downloads · New!
Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.
The Data Warehouse Toolkit, 3rd Edition
by Margy Ross
600 Pages · 2013 · 5.8 MB · 1,506 Downloads · New!
The first edition of Ralph Kimball’s The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more.
Models and Analysis for Distributed Systems
by Fabrice Kordon
368 Pages · 2011 · 4 MB · 1,146 Downloads · New!
Nowadays, distributed systems are increasingly present, for public software applications as well as critical systems. software applications as well as critical systems. This title and Distributed Systems: Design and Algorithms – from the same editors – introduce the underlying concepts, the associated design techniques and the related security issues.
Data Analysis with Open Source Tools
by Philipp K. Janert
538 Pages · 2010 · 8.2 MB · 2,657 Downloads · New!
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You’ll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.
Pentaho Kettle Solutions
by Jos van Dongen
720 Pages · 2010 · 16 MB · 4,564 Downloads · New!
This practical book is a complete guide to installing, configuring, and managing Pentaho Kettle. If you’re a database administrator or developer, you’ll first get up to speed on Kettle basics and how to apply Kettle to create ETL solutions – before progressing to specialized concepts such as clustering, extensibility, and data vault models. Learn how to design and build every phase of an ETL solution.
Head First Data Analysis
by Michael Milton
496 Pages · 2009 · 24.6 MB · 1,923 Downloads · New!
How can you learn to manage and analyze all kinds of data? Turn to Head First Data Analysis, where you’ll learn how to collect and organize your data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. The unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool.