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Business Intelligence in Microsoft SharePoint 2013

Business Intelligence in Microsoft SharePoint 2013 [Kindle Edition]

Norm Warren , Mariano Neto , Stacia Misner , Ivan Sanders , Scott Helmers

Kindle-Preis: EUR 12,97 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

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Taschenbuch EUR 25,40  



Dive into the business intelligence features in SharePoint 2013—and use the right combination of tools to deliver compelling solutions.

Take control of business intelligence (BI) with the tools offered by SharePoint 2013 and Microsoft SQL Server 2012. Led by a group of BI and SharePoint experts, you’ll get step-by-step instructions for understanding how to use these technologies best in specific BI scenarios—whether you’re a SharePoint administrator, SQL Server developer, or business analyst.

Discover how to:

  • Manage the entire BI lifecycle, from determining key performance indicators to building dashboards
  • Use web-based Microsoft Excel services and publish workbooks on a SharePoint Server
  • Mash up data from multiple sources and create Data Analysis Expressions (DAX) using PowerPivot
  • Create data-driven diagrams that provide interactive processes and context with Microsoft Visio Services
  • Use dashboards, scorecards, reports, and key performance indicators to monitor and analyze your business
  • Use SharePoint to view BI reports side by side, no matter which tools were used to produced them

Über den Autor und weitere Mitwirkende

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.


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Die hilfreichsten Kundenrezensionen auf (beta) 3.4 von 5 Sternen  5 Rezensionen
4 von 4 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Buy the Kindle Edition - I bought 20 3. August 2013
Von Frank Bergdoll - Veröffentlicht auf
Using this as a reference text for a class in BI. The lab set-up in Appendix A was a challenge for the students, but I was able to build the VM environment with a little additional work and give it to them.

Kindle Edition has screenshots in colour - which addresses the concern some reviewers have.

The first two chapters are a bit basic - and benefit from being supplemented by additional resources (Kimball books).

Students really enjoyed how this fit their program and synthesized several concepts in practical application.
4 von 5 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Another MS Press title rushed to press 17. Juni 2013
Von Russell Ramirez - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
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.
1 von 1 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen As 7. August 2014
Von D. Kittrell - Veröffentlicht auf
Format:Kindle Edition|Verifizierter Kauf
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
6 von 9 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Avoid 23. Juni 2013
Von sagestore - Veröffentlicht auf
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 ;-)
7 von 13 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Very Timely Big Data Add for Data Scientists like YOU... 2. Juni 2013
Von Let's Compare Options - Veröffentlicht auf
Format:Kindle Edition
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.
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