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Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence) Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data,

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大数据与数据仓库 Data Warehousing in the Age of Big Data

大数据与数据仓库 Data Warehousing in the Age of Big Data 大数据时代的数据仓库技术,大数据处理技术,案例分析

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data warehousing in the age of big data(epub英文原版)

1 Learn how to leverage Big Data by effectively integrating it into your data warehouse. 2 Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies 3 Understand how to optimize and tune your current data warehouse infrastructure

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BrainySoftware Dimensional Data Warehousing.with MySQL.A.Tutorial

BrainySoftware Dimensional Data Warehousing.with MySQL.A.Tutorial.Apr.2007,包括完整电子书以及书中代码

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Data Warehousing in the Age of Big Data

Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence) Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data,

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ERP资料 ERP & Data Warehousing in Organizations

关于ERP与数据仓库的资料 ERP & Data Warehousing in Organizations: Issues and Challenges 对于了解ERP流程,及其数据架构很有帮助,不足的是是英文版的

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Data warehousing

OLAP, ETL in the data warehouse envrionment

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BW310 HP 内部培训材料 Navigation in the Data Warehousing Workbench

BW310 HP SAP BI 内部培训材料

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Master oracle 10g Data Warehousing

Data warehouses have evolved because, in order for businesses to remain competitive in the marketplace, they need access to a wealth of information to help them make the right business decisions. To assist with those decisions, data may go back for many years and could entail keeping the details of

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数据仓库入门:Data Warehousing for Dummies

Wiley, Data Warehousing for Dummies (Wiley 2009.2.ed).pdf ------------------ Part I: The Data Warehouse: Home for Your Data Assets ...7 Chapter 1: What’s in a Data Warehouse? ........................................................................9 Chapter 2: What Should You Expect from Your Data Wa

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A Manager's Guide to Data Warehousing May 2009.pdf

Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . You'll get clear explanations of the goals and objectives of each stage of the data warehouse li

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Data Architecture

W.H. INMON DANIEL LINSTEDT Corporate data – the vista of information across the entire corporation. There are many different types of data found in the corporation. The book lays out one perspective of data and describes – at a very high level – how that data is used (and is not used) in the decisi

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Hive - A Warehousing Solution Over a Map-Reduce.pdf

The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, mak- ing traditional warehousing solutions prohibitively expen- sive. Hadoop [3] is a popular open-source map-reduce im- plementation which is being used as an alternative to store and pr

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Data Analytics with Hadoop: An Introduction for Data Scientists

"Data Analytics with Hadoop: An Introduction for Data Scientists" ISBN: 1491913703 | 2016 | PDF | 288 pages | 7 MB Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment,

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Introduction to Data Mining and its Applications

关于数据挖掘应用的一本不错的书 1 Introduction to Data Mining Principles . . . . . . . . . . . . . . . . . . . . 1 1.1 Data Mining and Knowledge Discovery. . . . . . . . . . . . . . . . . . . . 2 1.2 Data Warehousing and Data Mining - Overview . . . . . . . . . . . . 5 1.2.1 Data Warehousing Overview . . . . . . .

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the data warehouse lifecycle toolkit

d thorough update to the industry standard for designing developing and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998 In that time the data ware

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Service-generated Big Data and Big Data-as-a-Service: An Overview

We live in on-demand, on-command Digital universe with data prolifering by Institutions, Individuals and Machines at a very high rate. This data is categories as "Big Data" due to its sheer Volume, Variety and Velocity. Most of this data is unstructured, quasi structured or semi structured and it is

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Data Modeling Essentials 2005 ed

(高清英文原版,modeling 必备)The Morgan Kaufmann Series in Data Management Systems.Data Modeling Essentials, Third Edition provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning with the basics, this book provides a thorough grounding in theory before gui

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Building the Data Warehouse Fourth Edition

Building the Data Warehouse Fourth Edition 英文版 The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehouse systems, the b

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