Editorial Reviews. Review. In The Data Warehouse Lifecycle Toolkit, authors Ralph Kimball, Laura Reeves, Margy Ross, and Warren Thornthwaite. The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in Read "The Data Warehouse Lifecycle Toolkit" by Ralph Kimball available from Rakuten Kobo. Sign up today and get $5 off your first download. A thorough.

The Data Warehouse Lifecycle Toolkit Ebook

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Read "The Data Warehouse Lifecycle Toolkit" by Ralph Kimball available from Rakuten Kobo. A thorough update to the industry standard for. The Data Warehouse Toolkit: The Definitive Guide to Dimensional print versions of this book may not be included in e-books or in print-on-. The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in In that time, the.

Oddly enough, I started this just prior to being told that the data warehousing project that we are planning at my current employer may be coming along a bit more quickly than originally thought.

The focus of the Lifecycle Toolkit seemed to me to be on the project manager, or at least on giving an overview of the process as a whole. What The Data Warehouse Lifecycle Toolkit provided more than any of the others listed above was to give a good list of all of the tasks that will be required or at least recommended to complete a Data Warehouse project.

The Data Warehouse Lifecycle Toolkit

I believe that a good portion of the text was set aside to drive home how much work is really involved and that this is not a trivial task. It continuously mentioned brining in the business, and having the project manager read through what was required in each of the major steps so that this could be conveyed back up the chain. With that said, this book was a somewhat generic introduction to the topic at hand and no one topic was pursued in depth to the point that you would have all of the knowledge necessary to be an expert.

However, it provided lots of great information relating to the relevant portions of the project, from preparing the project definition, to gathering the key players, to what is really necessary for the business requirements and how you can begin to put them together, etc.

There is also lots of information relating to the dimensional modeling, the ETL subsystems, data profiling, data quality and the B. Alternately, you can start with the Microsoft Toolkit if that is the technology stack you will be using.

This specific book details on a higher-level the step-by-step processes required for a successful implementation focusing on the business users and requirements, while laying common pitfalls in the ETL, data warehouse infrastructure and application-level. For IS professionals, I would consider this a must read an Kimball is considered one of the fathers of the data warehousing movement and among many consulting firms is considered the de-facto representation of reporting database infrastructure.

For IS professionals, I would consider this a must read and among BI consultants crucial in understanding the field. I would consider this a more critical read than even Tufte and Few, who are considered the guru's of data visualization movement.


The reason being that the infrastructure of any reporting effort underlies these later front-end developments. A most noted aspect of this book is it's heavy emphasis on the business need, the requirements for reporting and making sure you have strong executive support.

This is too be expected when dealing with an abstract concept like data analysis and reporting, which is often strongly correlated with interpretation and the ability to act.

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(ebook) The Data Warehouse Lifecycle Toolkit

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Paul Zikopoulos. I am not a beginner in this subject, and I still learned a lot. Patterns of Information Management.

I started reading this book in 20 August and finished it 11 September Robin Bloor.