Business Intelligence Guidebook: From Data Integration to Analytics 1st Edition
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"Anyone tasked with business intelligence and data integration will want this outstanding introduction and guidebook…An established professional will also not be disappointed with the fresh how-to look. I highly recommend it." --Computing Reviews
"The world of architecture and technology is rapidly changing and has been for a while. Fortunately we have people like Rick Sherman who stay abreast of the latest advances. This book is as close to a complete A to Z guidebook as you will find. I recommend this book for every professional's desk." --Bill Inmon, Forest Rim Technology
"Rick covers a lot of ground in the BI Guidebook offering clear explanations of a wide range of BI and DW topics (e.g., technologies, methodologies). His approach makes it both a useful primer for those new to Business Intelligence as well as a great reference for more seasoned pros." --Howard Dresner, Chief Research Officer Dresner Advisory Services
"Anyone looking to rollout a business intelligence initiative or shore up a fledgling one can benefit from the BI Guidebook. Rick Sherman leaves no stone unturned and takes a deep dive into a complex and diverse field. Even a seasoned BI professional will enjoy having this book as a reference within arm's reach." --William McNight
"One cannot manage a business or run any organization without measurement: knowing where you'v been, where you are and where you are going. But while BI is the key enabler for such quantitative enterprise management, it remains one of the more complicated areas of information technology. BI encompasses a wide range of expertise from the technical mastery of building data models to the psychological finesse of resolving conflicts between IT and business people. This is why educating the market on best practices is so important, and why Forrester encourages reading and studying books that arm people with the knowledge they need to tackle the myriad challenges of implementing BI projects. This book, particularly, confirms Forrester’s position that data is a vital tool and a corporate asset that should have direct impact on enterprise top and bottom lines, as well as balance sheets." --Boris Evelson, Vice President, Principal Analyst, Forrester Research, Inc.
Master the full BI project lifecycle including requirements, project management, data modeling, architecture, data integration, BI applications, and analytics. Learn how to build out the data architecture framework that will incorporate data warehousing and Big Data elements.
- Publisher : Morgan Kaufmann; 1st edition (November 21, 2014)
- Language : English
- Paperback : 550 pages
- ISBN-10 : 012411461X
- ISBN-13 : 978-0124114616
- Item Weight : 2.12 pounds
- Dimensions : 7.5 x 1.24 x 9.25 inches
- Best Sellers Rank: #301,821 in Books (See Top 100 in Books)
- Customer Reviews:
Top reviews from the United States
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I found my first indication of this as I went to place sticky-note flags marking the individual chapters for later study - I typically do this so that when referencing one chapter I can more quickly get back to it. I realized that the flags were coinciding with these black markers on the side, and quickly realized that the way they printed the book off, there are black lines on the side that indicate where the part starts are, and where each chapter was. I know this is a small thing, and really not relevant to the actual content of the book, but it's just so refreshing to see that the publisher or author was concerned about efficacy rather than merely the bottom-line.
As for the content itself, there is little "fluff" or waste throughout the book. As I said before, it's designed with the task of informing in mind, and as such, it does not go off on tangents or over-explain anything. Anything that requires a tangential explanation is typically all contained within the same chapter. In a classroom setting, I could see this being useful if the book is being used to explain a specific subset of a field, as you can easily skip sections irrelevant to the classroom without having to summarize the preceding section.
The only thing missing from my "checklist" when it comes to textbooks would be a summation of the individual chapters - summation of chapters are typically a staple of most textbooks. However, when I considered that the chapters were written with minimal waste, I instead feel that a summary would be unnecessary. The chapters are generally as long as they need to be, ranging from 10 pages to 40, and there are pages in some chapters that give a decent enough overview of information, such as in the first chapter when it concluded with a definitions table, something that no further chapter finished with.
Overall, it's a good textbook about explaining Business Intelligence, and it's nice that it doesn't cost any limbs to purchase. If I had the option to choose between this and other textbooks, I can't see any reason not to choose this book. The only other thing I'd like to note is that I am a MIS major, so it's possible that I might be overrating it by a star simply because I was more familiar with the subject matter and did not get confused with any of the sections that another might, but even if there was a section that would make less sense to someone not directly involved in the field, I still feel that it would be a useful resource well worth the price.