Master Data Management and Customer Data Integration for a Global Enterprise Review

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Master Data Management and Customer Data Integration for a Global Enterprise ReviewThis book is a great compendium of current technology and business issues around MDM and CDI, with a foreword from Aaron Zornes. It provides an expert view on business drivers, architectural approaches and implementation issues. It is worth mentioning the chapter on Vendors Landscape where the authors review current market players competitive advantages. Easy to read for both business and IT managers and it has very interesting appendixes with glossary included! The book any CIO and Business Executive should read to be aware of whats going on in the MDM field.
Carme Artigas - CEO Synergic PartnersMaster Data Management and Customer Data Integration for a Global Enterprise Overview
Transform your business into a customer-centric enterprise

Gain a complete and timely understanding of your customers using MDM-CDI and the real-world information contained in this comprehensive volume. Master Data Management and Customer Data Integration for a Global Enterprise explains how to grow revenue, reduce administrative costs, and improve client retention by adopting a customer-focused business framework.

Learn to build and use customer hubs and associated technologies, secure and protect confidential corporate and customer information, provide personalized services, and set up an effective data governance team. You'll also get full details on regulatory compliance and the latest pre-packaged MDM-CDI software solutions.

Design and implement a dynamic MDM-CDI architecture that fits the needs of your business

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Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQL Review

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Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQL ReviewJos and Roland have done a great job explaining the tools and technology of the Pentaho BI Platform in the context of building real world Business Intelligence applications. They have taken some very complicated and technical concepts and presented them in an easy to follow case study. The case study they chose is simple to understand yet filled with the same kinds of real world complexities that make BI applications difficult to deliver.
The "Getting Started with Pentaho" section has all the information and documentation you wish you could find neatly arranged on the Pentaho community site. They do an excellent job explaining the entire Pentaho application stack from collecting data to presenting information. The book could have stopped here, being the Pentaho missing manual, and still have been worth buying.
The next section, "Dimensional Modeling and Data Warehouse Design" is an very good introduction/refresher on hows and whys of building data warehouses, data marts and OLAP cubes. Again they have taken a subject that is broad and complex and presented it in a way that is easy to understand and apply. Where appropriate, they refer the reader to other resources available for more in-depth coverage of specific topics.
A data warehouse is useless until you can reliably get good, complete and accurate data into it. The section on "ETL and Data Integration" is another section that could easily stand on it's own. After an introduction to ETL and Pentaho Data Integration, they show how to populate the database used for the case study including populating time dimensions. Other real world topics touched upon include; change data capture, data validation, data cleansing and issues with generating dimension tables.
The last section covers transforming data into information via metadata, reporting, analysis services, data mining and dashboards. Each topic is covered by an introduction, explanation of the tools available and examples using data from the case study.
I like the way Roland and Jos combine general BI knowledge with tutorials on the Pentaho applications and tie it all together with an interesting case study giving you a chance to stop and play as you follow along. I also enjoyed the many side notes with tidbits of history and pointers to other resources. Overall I found this book both informative and enjoyable.
I'm a fifteen year veteran of building BI software, one of the original Pentaho developers and am currently the Pentaho community guy. I'm not affiliated with Jos, Roland or Wiley and receive no benefit from this book beyond the satisfaction of having Pentaho software be so well represented.
Doug Moran
Pentaho
Pentaho Solutions: Business Intelligence and Data Warehousing with Pentaho and MySQL OverviewYour all-in-one resource for using Pentaho with MySQL for Business Intelligence and Data Warehousing
Open-source Pentaho provides business intelligence (BI) and data warehousing solutions at a fraction of the cost of proprietary solutions. Now you can take advantage of Pentaho for your business needs with this practical guide written by two major participants in the Pentaho community.
The book covers all components of the Pentaho BI Suite. You'll learn to install, use, and maintain Pentaho-and find plenty of background discussion that will bring you thoroughly up to speed on BI and Pentaho concepts.
Of all available open source BI products, Pentaho offers the most comprehensive toolset and is the fastest growing open source product suite
Explains how to build and load a data warehouse with Pentaho Kettle for data integration/ETL, manually create JFree (pentaho reporting services) reports using direct SQL queries, and create Mondrian (Pentaho analysis services) cubes and attach them to a JPivot cube browser
Review deploying reports, cubes and metadata to the Pentaho platform in order to distribute BI solutions to end-users
Shows how to set up scheduling, subscription and automatic distribution

The companion Web site provides complete source code examples, sample data, and links to related resources.

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Data Warehousing For Dummies Review

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Data Warehousing For Dummies ReviewThis book is good for the person completely new to data warehousing, as long as they DON'T take it as the complete or last word on the subject. Most of the basic concepts are presented well, but there are various errors in some of the specifics, and there are some theories described that are 'old school' and not necessarily relevant with todays technology (in the last 5 years data warehousing has changed in the capability of tools and in approaches & architecture).
RECOMMENDATIONS: If you are a business person trying to understand what your computer people are talking about re data warehouses, data marts or business intelligence, this is a good starting point.
But, if you are an IT/IS/computer person, skip this book and read Ralph Kimball's "Data Warehouse Toolkit", then graduate to his "Data Warehouse Lifecycle Toolkit" (covers many more aspects), and Bill Inmon's "Corp Information Factory". These 3 books, and a DBMS specific book (e.g. "Oracle 8i Data Warehousing") will be all you need for your first few projects.Data Warehousing For Dummies OverviewData warehousing is one of the hottest business topics, and there's more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition.
Data is probably your company's most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You'll learn to:
Analyze top-down and bottom-up data warehouse designs
Understand the structure and technologies of data warehouses, operational data stores, and data marts
Choose your project team and apply best development practices to your data warehousing projects
Implement a data warehouse, step by step, and involve end-users in the process
Review and upgrade existing data storage to make it serve your needs
Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware
Use data mining intelligently and find what you need
Make informed choices about consultants and data warehousing products

Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You'll find it's the most useful source of data on the topic!

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The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin Review

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The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin ReviewIn this book Ralph lays down a framework for constructing the DW ETL. This is useful not just in constructing quality ETL processes, but also because Ralph's works tend to 'set' standards in data warehousing. The format of this book is similar to the Lifecycle Toolkit. Ralph takes a very staged, logical approach to the material. Some sections are just great e.g. the chapters on Extraction and Development. A small amount of the material is repeated from the Lifecycle Toolkit and Dimensional Modeling books, but no more than is needed to make this book stand on its own.
Also like the other books, this one takes a vendor agnostic approach. While this may increase the shelf-life of the book, I would have appreciated some comparisons between the major vendors out there today.
Overall: I recommend this one as a buy, even if you have Ralph's other books.
The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleanin Overview
Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies
Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process
Delineates best practices for extracting data from scattered sources, removing redundant and inaccurate data, transforming the remaining data into correctly formatted data structures, and then loading the end product into the data warehouse
Offers proven time-saving ETL techniques, comprehensive guidance on building dimensional structures, and crucial advice on ensuring data quality


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