Free PDF Business Intelligence Guidebook: From Data Integration to Analytics
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Business Intelligence Guidebook: From Data Integration to Analytics
Free PDF Business Intelligence Guidebook: From Data Integration to Analytics
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Review
"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.
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From the Back Cover
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.
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Product details
Paperback: 550 pages
Publisher: Morgan Kaufmann; 1 edition (November 21, 2014)
Language: English
ISBN-10: 012411461X
ISBN-13: 978-0124114616
Product Dimensions:
7.5 x 1.2 x 9.2 inches
Shipping Weight: 2.4 pounds (View shipping rates and policies)
Average Customer Review:
4.1 out of 5 stars
16 customer reviews
Amazon Best Sellers Rank:
#281,107 in Books (See Top 100 in Books)
This textbook is a rare thing. Not from it's difficulty in obtaining, or due to the price being well below the norm of $100. What is rare about it is that it actually feels like they are trying to make it for someone who wants to learn the information, rather than simply writing it for a class; that is, it prioritizes learning over merely informing.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.
I wanted to give the book 3.5 stars. Good information, but the book does a poor job of breaking down the architectural framework that it introduces. Once you go through the pain of doing what the author should have done for you, you'll be well versed in the subject.
I am relatively new to the area of BI. However, this book is pitched just right for anbody who has a need to understand the BI landscape. Form data wharehouse to self-serve BI Visualization, thè author points out the pros and cons of a quick fix vs. a fit for purpose solution. I'd recommend to anyone who wants to undertake a successful BI project as a must read.
Fantastic coverage of BI topics to bridge both technical and non-technical audiences. If you're working on providing BI services to clients, or are involved in any level with enterprise data management, this book will be invaluable.
Great book! For me this is a great introduction into the IT and business intelligence environment.
The BI Guidebook is an indispensible resource for building world-class data warehouse programs. It describes the architecture, design, and processes that put business intelligence best practices into action. This book is a must-read for all business intelligence professionals.
I revceived the product in great condition
There is absolutely no reason for business intelligence to be dry, but that's nonetheless the stereotype within the industry. Sadly, Sherman takes the BI dryness challenge and brings it to a new level of boring.I fell asleep several times while reading this book.I ultimately didn't finish it.It's not really a book for beginners, but also not for experts. I'm not entirely sure who Sherman thought his audience was, but as someone who's been in the space for a little while now, it sure wasn't me.
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