The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, Third Edition Ralph Kimball founded the Kimball Group. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball's classic guide is. Kimball GroupThe Data Warehouse Toolkit, 3rd Edition - Kimball Group Warehouse and Business Intelligence Toolkit Books /; The Data Warehouse Toolkit, Ralph Kimball and Margy Ross co-authored the third edition of Ralph's classic.
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Over copies of the Toolkit books written by Ralph Kimball and the Kimball Group regarding data warehousing and business intelligence have been sold. RALPH KIMBALL, PhD, has been a leading visionary in the data warehouse 3 excellent books from the Kimball Group in their data warehouse toolkit series. Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of.
Authors are Kimball and the President of Kimball Group. Authority stems from "consulting" and publishing in a made-up magazine.
This book is worth a glance by modern data scientists because it shows the bullshit roots of this bullshit field.
View 1 comment. Apr 28, Martin De Wulf rated it it was ok. Uselessly long. This books helped me truly grok the importance of keeping measures additive in dimensional modeling design. While the chapters of case studies for different industries begin to seem redundant after this first few, tucked into the final chapters are more gems: This includes details including timezones and daylight savings in case studies on transportation and e-commerce. The perfect book. If you want to learn about data warehouses this book is the bible or one of the two bibles.
download it for reference. download it to learn everything about it.
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download it for extending your technical vocabulary. download it to learn how experts design data warehouses.
Heck, steal it for all I care! Get one now! This is not an ordinary book. It's a book that takes a few weeks to read, a few months to understand the concepts, and probably a few years to encounter the problems described and apply t The perfect book. It's a book that takes a few weeks to read, a few months to understand the concepts, and probably a few years to encounter the problems described and apply the solutions explained. This is a book that you'll open again and again, and each time you re-read the chapters you'll discover new information you never thought existed.
This is a book that should be next to your computer. At hands length at most.
The Data Warehouse Toolkit, 3rd Edition
Oct 26, Joe rated it liked it Shelves: The second edition was published in , but even so, some of the recommendations seem a bit outdated even for back then. I'd rather the book be aimed at people using modern tools and let folks using older, antiquated tools come up with their own workarounds rather than proposing everyone use the least common denominator.
However, that was really my only complaint. The case studies and examples are well-chosen and highlight many common business scenarios.
Aug 03, Daniel Galassi rated it really liked it Shelves: This is probably one of those books that every business intelligence developer should read. Dimensional modelling is not always properly understood by practitioners but this book will help a whole range of professionals do a better job at analysing requirements, defining metrics, creating reusable models logical and physical and implement flexible analytical solutions.
This was a required textbook for one of my classes going toward my degree. This book was easy to follow and the font size was a good. I would have liked if there were more diagrams and "try it yourself" examples in the book. This would have helped with my confusion on a few of the chapters. It was well worth the money to rent and I'll probably end up downloading it.
Definitely recommend! Jun 23, Cory rated it really liked it. That is one way to do it.
I agree with a bottom-up approach. I do not agree with a star schema in all scenarios. Sometimes a subset of flat data is faster than stars. Dimensions, and Fact tables are a must in a DW. Apr 18, Abhishek Gupta rated it it was amazing.
Amazing book to grasp the fundamentals and advanced concepts of DWH. Kimball's methodology of explaining the concepts with industry specific scenarios instills learning with business knowledge. Must read for practitioners of DWH.
Sep 27, Harit Himanshu rated it it was amazing. The Book for dimensional modeling. Jan 06, Christophe Addinquy rated it it was ok. This is a classic. Every Business analyst should have this book on their shelf. I wouldn't do this job if it wasn't for Mr.
Apr 18, Sapan Patel added it Shelves: A must have classic for any soul working and preaching Dimensional Modeling methodology or even Data Warehouse in general. Very practical minus the fluff.
Jan 23, Louis Marier rated it it was amazing. A reference for dimensional modeling.
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If I had read it before, it would have saved me a lot of headaches. I know a new edition has been published since I read it.
Surely a must read! Dec 26, Sathish marked it as to-read. Feb 15, Dan rated it liked it.
Really dry reading. Not a great starting off point for beginners. But it would be great as a reference book. Sep 18, Timon Karnezos rated it really liked it. Kimball does a good job of covering the basics. Approachable, easy to put down and pick up a week later. Lots of repetitive wording, not enough technical stuff, eg why is denormalized better than 3Nf?
Faster, maybe but what about storage, etc.
Jan 18, Laurent rated it it was amazing Shelves: LA bible du DWH. Jan 17, Ira Burton rated it did not like it Shelves: A completely trivial and useless book, unless you are looking for th , foot view of the topic of data warehousing. If you are looking for any technical details, ignore this book. Jul 24, Sella Perumal added it. Neil rated it really liked it May 19, Charis rated it really liked it Feb 01, There are no discussion topics on this book yet.
Readers also enjoyed. Goodreads is hiring! If you like books and love to build cool products, we may be looking for you. About Ralph Kimball. Ralph Kimball. Books by Ralph Kimball. Trivia About The Data Warehous For the English cricketer, see Ralph Kimbell.
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Archived from the original on Retrieved Ralph Kimball, founder of the Kimball Group, is known worldwide as an innovator, writer, educator, speaker and consultant in the field of data warehousing. He has remained steadfast in his long-term conviction that data warehouses must be designed to be understandable and fast.
Ralph's books on dimensional design techniques have become the all-time best sellers in data warehousing and he has trained more than 10, IT professionals around the globe. Ralph has his Ph. Kimball data warehousing: Data warehouses. Fact table Early-arriving fact Measure.
Dimension table Degenerate Slowly changing. Business intelligence software Reporting software Spreadsheet.We start with the classic because it is one that we all understand.
Data Warehouse and Business Intelligence Toolkit Books
If you order multiple items and they are not all in stock, we will advise you of their anticipated arrival times. A row in a fact table corresponds to a measurement. Sep 18, Timon Karnezos rated it really liked it.
Long before simplicity was a lifestyle trend, the early database syndicators gravitated to these concepts for simplifying the presentation of analytic information. Fact Table A fact table is the primary table in a dimensional model where the numerical performance measurements of the business are stored, as illustrated in Figure 1.