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Business Intelligence in Microsoft SharePoint 2013
PDF Download Business Intelligence in Microsoft SharePoint 2013
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Amazon.com Review
Q&A with Norman Warren, author of "Business Intelligence in Microsoft SharePoint 2013" Q. Why is your book timely-- what makes it important right now? A. Our book can be considered a quick guide to getting value from Big Data. Why? Because much of the focus is on Excel and the business intelligence tools that are now baked into it. Additionally, there is content on how to connect to Hadoop data with Excel. There is no better time to embrace the fact that Excel is the preferred tool of choice for analyzing and exploring data. This book provides the keys for getting value from data and sharing discovered insights in SharePoint 2013. The tools that Microsoft provides are less expensive, integrate more easily in the corporate datacenter, and are accessible to mainstream information workers and developers, using the skills they already have. Q. What information do you hope that readers of your book will walk away with? A. 1. A quick tour with exercises for using new BI features in Excel 203 and Visio 2013 and then how to get the most from SQL Server 2012 tabular and SharePoint 2013 when implementing self-service and enterprise BI solutions. 2. A clear understanding of what business intelligence is. Also, an understanding of what Big Data is, its role in surfacing insights, and how to use Microsoft BI tools to get value from it. 3. Useful instruction on which tool to use. Customers often ask which tools they should use when trying to select among a variety of Microsoft offerings. They’re often confused and need information as to why they might want to prefer SQL Server Reporting Services in SharePoint over PerformancePoint Services, or why they might use the Excel 2013 PowerPivot add-in instead of Excel or Excel Services. After all, each product connects to a database and surfaces data from an OLAP cube. 4. A better understanding on how to get to trusted data and the shortened life cycle of BI implementation while using the latest Microsoft BI tools. Q. What's the most exciting and/or important thing happening in your space? A. Managed and guided self-service BI works. People don't have to wait on IT to get a report. This book gives tips for successfully implementing self-service BI with tools like Excel 2013 and Visio 2013. Big Data is here to stay and you can learn what it is and how to get value from the huge data store immediately by using tools discussed in this book.
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About the Author
Norm Warren is a SharePoint, PerformancePoint, and SQL Server expert and coauthor of Business Intelligence in Microsoft SharePoint 2010.Mariano Teixeira Neto is a software design engineer on the SQL Server Analysis Services team who has worked on PowerPivot for SharePoint.Stacia Misner is a Microsoft Certified IT Professional-BI and a Microsoft Certified Technology Specialist-BI and the author of multiple books on Microsoft SQL Server and BI.Ivan Sanders is a Microsoft MVP for SharePoint and independent consultant focused on delivering Microsoft SharePoint solutions.Scott Helmers is a Microsoft MVP for Visio and a co-inventor of a Visio add-in that allows anyone to document all of the important aspects of any business process. Scott is the author of Microsoft Visio 2010 Step by Step.
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Product details
Paperback: 404 pages
Publisher: Microsoft Press; 1 edition (June 9, 2013)
Language: English
ISBN-10: 0735675430
ISBN-13: 978-0735675438
Product Dimensions:
7.4 x 0.9 x 9 inches
Shipping Weight: 1.5 pounds (View shipping rates and policies)
Average Customer Review:
3.6 out of 5 stars
10 customer reviews
Amazon Best Sellers Rank:
#1,353,564 in Books (See Top 100 in Books)
As others have noted, various diagrams and illustrations are not well introduced in the hardcopy version (and I suspect the Kindle equivalents may be worse). However, I don't find this a show-stopper: the book is a good, quick, introduction to designing and developing BI tools using the current SP 2013 release. If possible, find a paper copy and l
The first problem I had with this book was with the illustrations. Some of the screen captures are OK, but others look like they were printed in color, then scanned in B/W. Just to put what you will see into words, quite a few of the images look as if the image was printed on a laser printer that was low on toner.The book includes information on some very recently announced features such as native PowerView in Excel 2013. This is a good thing, but it also seems like another clue that the book was probably rushed to press.Lastly, there are step by step examples that are mostly correct, but there were probably last minute changes in the most recent code updates such as function shifted from just the SQL Server Data Tools (SSDT) moniker, to include SSDT - Business Intelligence for VS 2012. A minor point that happens quite a bit with the first books to be released on a technology subject.I gave this book an OK rating because it could have, and should have, been better but think the fault rests with the publisher and not the authors.
Good book with a logical flow that walk you through the technical deployment and concepts around Sharepoint 2013. Very good starting and intermediate point to running Analytics from SharePoint. I would recommend this book to any BI professional.
good so far
SharePoint started in 2001 with the modest goal of tying the Office Suite (with a Word-like GUI, but prophetically including much of Excel) to the internet. The "second" goal was to evolve inTRAnet capabilities and prepare for web based document management ala XML.Fast forward 12 years to Hadoop, DAX - Pivot, and an amazing array of Excel tools for big data mining and analysis. Microsoft was truly smart or lucky-- Sharepoint is now the Excel/office suite/ SQL integrator, with the newest two versions specifically targeting many other big data interfaces. And yes, this fine text fully covers the hottest 2 new topics in BI-- apps and clouds (even though there are many separate volumes on apps, eg: Microsoft SharePoint 2013 App Development).Keywords for those two aspects: Microsoft NAPA (IDE), Windows Azure, Office 365, REST API's, YAMMER. (BTW these authors are pro Microsoft, so they don't get into the .net/.com environmental nightmares, the lack of VBA updates and support, or the impossible snafu of macros in hosted Office/Sharepoint. However, NAPA IDE solves almost ALL those issues PLUS smooths your cloud/apps hosting issues-- it is a MUST with these technologies, as much as Excel).If you read the literature about new grads unable to find jobs except at McD's, the one exception is a new category of job and profession called "Data Scientist" which started being used as late as 2009/2010. There now even is a CDSO-- Chief Data Science Officer-- in some data intensive firms! IF your team doesn't yet have a CDSO, tell them to create the position and give it to you, especially if you're reading this review and considering purchasing this book. Entry data science: $90K range; Manager: $165K; CDSO: $220K including options, etc. (Source: DS assn.).The problem isn't day one when you get that trophy job, it's day two. Maybe the CEO likes your work for the board, or the CFO for financial reporting dashboards, but what about the other top managers? SharePoint is the answer! Although the newer servers and warehouses certainly require professional IT skills, the data scientist can use the (still) extremely friendly interfaces, as well as team-familiar and friendly Word, Visio and Excel. IOW, you can be a HERO day 2 by creating tools and dashboards that show the "value" of a data scientist to the organization at EVERY level. One cool, very current emphasis is on "self service" BI with Visio and Excel-- your customers will LOVE it!So, since every data scientist and most IT folks know that the premier text in this field is Young and Klindt (Professional SharePoint 2013 Administration), why do you need 400 more pages? Specialization! Excel, SQL, big data, Pivot/DAX, Hadoop deserve way more than a chapter, and this fine text fills both a learning and reference need in that deep and specialized application, which BTW IS the major reason "Data Science" has evolved into a separate profession.If you're confused about the title "Business Intelligence" -- don't worry, data science is even now struggling to define the term with 3 bears taxonomy-- not too big or too small, but just right. In olden days it referred to what your competitors are doing and maybe a little about what your customers are doing. With web x.y it is now all about the myriad aspects of big data, from machine learning to data mining, analysis and presentation, with a BIG TECHNICAL piece filled by statistics, math and probability. DAX, Hadoop, Excel, Powerpivot, Sharepoint all fit in both the "behind the scenes" back room servers (and indeed now Sharepoint "farms") and the visible dashboards, functions, Excel/ Visio BI features and plug ins and other organizational user's daily life-- the tip of the iceberg of BI above the waterline that will make or break your DS/IT career!The only real question in considering purchase of this unique and current text is the amount of overlap with Klindt-- the ONE you MUST have if you're in DS. After carefully comparing both, we're advising our technical, university, grad and private corporate libraries that they do indeed need both. The reason: about a 22% overlap. Yes, that seems high, but the remaining material has so much reference detail, specifically about interfaces, that every data scientist will need this. This volume covers the majority of client/server options right down to the IDE and NAPA level. These are crucial for the cloud and apps regardless of how you're configuring Share vs. Pivot vs. SQL big data tools, for example. Of course this volume is 80% about Excel - Visio BI tools, as that's SharePoint's sweet spot. Not knocking that-- it is what your DIY users will like about it!If you are a corporate librarian and your major specialty is document management, you MIGHT get away with just Klindt, but I will predict that your job will evolve into a data scientist either because you're smart and you make it do so, or due to inevitable trends, at which point you'll need the "rest of the story" as given here in fine fashion. Perhaps most importantly, the authors take the time to parse the similarities and differences between the exponentially growing tool options. With just the Microsoft "competing" options in sql, pivot, excel, not to mention dozens others in SAP/IBM etc., knowing which tool to choose for which application is key, and the authors here give an objective trade-off view of similarities and differences by application and solution/need.If you're on a strict budget, can you get away with a 2012, much cheaper substitute? If it were just for Sharepoint, pivot, DAX etc., possibly, but Excel itself has so many new 2012/2013 hooks in SharePoint that you really do need the updates both here and in Klindt. I write some of the questions for the Microsoft exams, and ahem, you need this, enough said!!! Speaking of budget, Microsoft is not going to advertise that you can avoid a $15,000 feature upgrade with a $500 third party plug in for SP -- say, for example, if you only need some custom filters. Just a thought.Tip of the day: did you "mistakenly" go into a field like math, stats, Monte Carlo, probability, Bayesian analysis, actuarial science, etc. that now seems like a dead end? CELEBRATE-- reinvent yourself as a data scientist, because these fields are integral to what "lies beneath" this new field! Go for it. Imagine the differing needs between a research organization using R and Google using Hadoop-- the common thread is YOU, the data scientist! If you mastered a field above, olap hypercubes will seem simple by comparison (hey, you'll be the only one on the team who knows how to model them with Minkowski sums!).EMAILERS: OK, I KNOW a lot of you are peeved at Microsoft for legacy, VBA support, Pivot vs. Share vs. SQL, out of date libraries, and other issues. But if you are truly going the DS route consider this: with that hat on, you also have to consider COST! I mean you might be asked to design a BI system ground up ON a budget. You KNOW that the MS solutions are the biggest bang for the buck if your "customers" (internal users) need a friendly mining and analysis app like Excel! And, believe me, I've been there, even the multi million dollar "SAP" type enterprise solutions have a plethora of issues too, you just PAY MORE for them. You'd be better off with R / Python, as the pharma companies are finding. Microsoft: get a clue, and get back to supporting and updating VBA you goofballs!!!! C# or not, Excel itself depends on it. If not for NAPA, .net would have brought the whole thing down by now! (OK, not many can afford even run time Oracle, so you get points for SQL). That IS the point.Library Picks reviews only for the benefit of Amazon shoppers and has nothing to do with Amazon, the authors, manufacturers or publishers of the items we review. We always buy the items we review for the sake of objectivity, and although we search for gems, are not shy about trashing an item if it's a waste of time or money for Amazon shoppers. If the reviewer identifies herself, her job or her field, it is only as a point of reference to help you gauge the background and any biases.
The technical content is OK, however, the figures (screen shots) are printed so light that they are unreadable. One to be avoided until the print issues are sorted out. This could be avoided in the good old days, we could look at the book in a shop before purchasing ;-)
This is a good guide to implementing BI using SharePoint. However, the graphics contained in the book are quite poor. Considering others on this site have made the same remarks, I am surprised Microsoft has not updated this offering.
Very good and very useful.. just same as the picture, I love it
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