Ebook The Data Warehouse Workshop: Providing Practical Experience to the Aspiring ETL Developer, by Brian Ciampa
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The Data Warehouse Workshop: Providing Practical Experience to the Aspiring ETL Developer, by Brian Ciampa
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One of the most important assets of an organization is its data. As a result, there is no shortage of organizations looking for talented, knowledgeable, and experienced professionals to build and maintain data warehouses. This book is intended to help the aspiring business intelligence developer get some hands-on experience in this area. You will be provided with a dataset and led through the process of visualizing, creating, and verifying the transformation of that data so that it can reside in a data warehouse. If a lack of exposure to the technical side of data warehousing is the only thing standing between you and a fulfilling career in this innovative industry, this book is for you...enjoy!
- Sales Rank: #793761 in Books
- Published on: 2014-01-28
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x .68" w x 7.44" l, 1.18 pounds
- Binding: Paperback
- 298 pages
Most helpful customer reviews
1 of 1 people found the following review helpful.
A Truly Useful Toolbox for Data Warehouse and ETL Developers
By Michael Helms
As a veteran data warehouse developer and architect, I've seen the good, the bad and the truly ugly. There are plenty of books that discuss the theories of data warehousing, but very few provide the kind of hands-on tools and code samples that Ciampa's book offers.
I also appreciate the fact that Ciampa address both ETL and warehousing concerns. Although these are often considered different development genres, they are attached at the hip and, in many data warehouses, indistinguishable from one another. Again, Brian's code samples address the nuances of surrogate keys, incremental loads, etc.
Brian's code samples worked well in my development warehouse, and the SQL is generic enough that it can be ported easily to most ANSI-SQL compliant databases. And while we're talking about SQL ... I know that there's a lot of ETL tools and some IDE's that let you build data warehouses in a "drag and drop" fashion, but my experience is that developers inevitably migrate to a lot of SQL code to manage the nuances. By taking this right to the SQL level, Ciampa has spared the reader the need to abstract complex SQL out of simple drag-and-drop operations.
Whether you work through the book sequentially to develop a full understanding of warehouse and ETL development, or whether you keep this book as a deskside reference for your day-to-day coding, there's definite value here to anyone that has to design, develop or maintain a data warehouse. My well-thumbed copy is one of the few books that lives permanently on my desk, and it's more than earned a spot among the seminal texts of Ralph Kimball, etc.
1 of 1 people found the following review helpful.
All codes and examples are for Oracle and in PL/SQL. Very good examples.
By Jaewoo Kim
Although the description of this book doesn't say so, all the examples on this book are based on Oracle and PL/SQL.
If you are totally unfamiliar with PL/SQL, you will have difficult time following the examples. If you do not have access to a Oracle database, then you will not be able to execute any of the provided (downloadable) code.
The author does a fantastic job of describing the ETL process and precisely what is involved in the ETL of both dimension and fact tables. Furthermore, the author covers issues such as granularity, SCD, verification, and drill across.
If you are totally unfamiliar with ETL, but have some familiarity with Oracle and data warehousing (star schema), then I can recommend this book. If you are unfamiliar with either Oracle or data warehousing, then the book can lose you in a hurry.
Finally, some of the code examples simply did not work on my Oracle 11g install. I didn't dig into it, but I just thought the author should know.
Pros:
1)Step-by-step instructions on each of the ETL process on both the dimension and the fact tables.
2)Good coverage of real life scenarios and challenges facing ETL.
Cons:
1)Requires one to be familiar with Oracle and PL/SQL.
2)Requires one to be familiar with data warehousing (star schema). But this isn't the book's fault.
3)Some of the code examples simply did not work on my Oracle 11g.
0 of 0 people found the following review helpful.
Great book, great value. :-)
By ERIC WEI
Excellent book. Well written and structured. Good examples, reasonable workload for the reader. The additional online resources were of good value. Thanks!
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