Microsoft released a while back a cumulative update 2 for SQL Server 2012 SP1. Besides other things, it includes a fix for the “wide” MDX query performance degradation issue with Analysis Services that I previously reported.
Nevron was kind enough to show me their chart and gauge for Reporting Services. In certain areas, their products exceed the charting capabilities of Reporting Services. Here are the highlights:
Support for Code Customization – Nevron Chart for Reporting Services supports customization through C# code, which allows you to use the full Nevron Chart for .NET API in SSRS and achieve a higher degree of customization.
The online demo is available at: http://examplesssrsvision.nevron.com/
Suppose your company has a web application that allows customers to enter comments, such as to provide feedback about their product experience. How do you derive knowledge from these comments? Perhaps, customers are complaining a lot about a particular product. Or, they are raving about your service. Enter semantic search – a new feature in SQL Server 2012.
Building upon full text search, semantic search allows you to search not only for words, but also for the meaning (semantics) of these works. Mark Tabladillo, Ph.D., gave us great presentation at our Atlanta BI January meeting. He demoed how semantic search can be used to find the most common phrases in a document and how to find similar documents from a given search criteria.
Besides external documents, you can apply semantic search to text data already stored in a database, such as a text-based Comments field. Again, this is possible because semantic search builds upon the full-text search capabilities of SQL Server. So, any column that supports full-text search can be enhanced with semantic search.
Going back to my scenario, here is what it takes to configure a text field for semantic search:
EXEC sp_fulltext_semantic_register_language_statistics_db @dbname = ‘SemanticsDB’
4. Next, create a full-text index using Statistical_Semantics option which is new with SQL Server 2012.
CREATE FULLTEXT INDEX ON [Production].[ProductReview]
(
[Comments] LANGUAGE [English] Statistical_Semantics
)
KEY INDEX [PK_ProductReview_ProductReviewID] ON ([AW2008FullTextCatalog], FILEGROUP [PRIMARY])
WITH (CHANGE_TRACKING = AUTO, STOPLIST = SYSTEM)
This command creates a semantic-enabled full-text index on the Comments column in the Production.ProductReview table on the AW2008FullTextCatalog full text catalog. The AW2008FullTextCatalog text catalog is included with the AdventureWorks2012 database. The CHANGE_TRACKING = AUTO clause instructs SQL Server to auto-update the index, and STOPLIST = SYSTEM specifies that the default full-text system STOPLIST should be used to parse words.
5. Now that you’ve done the ground work, you can perform the semantic search. For example, the following query returns the most frequent words for each document:
SELECT TOP(5) KEYP_TBL.document_key, KEYP_TBL.keyphrase, KEYP_TBL.score
FROM SEMANTICKEYPHRASETABLE
(
[Production].[ProductReview],
[Comments]
) AS KEYP_TBL
ORDER BY KEYP_TBL.score DESC;
Note that the document_key matches the ProductReviewID column (primary key) of the [Production].[ProductReview] table allowing you to match the semantic search results to the document. For example, “socks” and “trip” were found in the row with the primary key of 1 whose Comments column contains the following text:
“I can’t believe I’m singing the praises of a pair of socks, but I just came back from a grueling 3-day ride and these socks really helped make the trip a blast. They’re lightweight yet really cushioned my feet all day. The reinforced toe is nearly bullet-proof and I didn’t experience any problems with rubbing or blisters like I have with other brands. I know it sounds silly, but it’s always the little stuff (like comfortable feet) that makes or breaks a long trip. I won’t go on another trip without them!”
You can feed these results to a data mining model if you want to learn which phrases customers tend to use together similar to identifying what products customers tend to purchase together (market basket analysis). “Together” here means within a specific document.
What if you want to get the most popular phrases across all comments? I think the following query should help although there might be a better way. The query groups phrases and sorts them in a descending order by the average score.
SELECT TOP(5) KEYP_TBL.keyphrase, AVG(score) AS Score
FROM SEMANTICKEYPHRASETABLE
(
[Production].[ProductReview],
[Comments]
) AS KEYP_TBL
GROUP BY KEYP_TBL.keyphrase
ORDER BY AVG(KEYP_TBL.score) DESC;
MVP fellow, Andrew Burst, discusses Gartner’s newly released DW (not BI, mind you) magic quadrant. It looks like Gartner fell in love with Teradata but Microsoft is moving up as well thanks to the advances in its Parallel Data Warehouse (PDW) and in-memory offerings.
I ran into a severe performance issue with the Aggregate function and unrelated dimensions which I reported on connect. In this context, an unrelated dimension is a dimension that doesn’t join any measure group in the cube. Why have unrelated dimensions? My preferred way to implement time calculations is use a regular dimension that is added to the cube but not related to any measure groups. Then, I use scope assignments to overwrite the time calculations, e.g. for YTD, MTD, etc. For example, the scope assignment for YTD might look like:
Scope (
[Relative Date].[YTD]
);
this =
Aggregate
(
{[Relative Date].[Current Period]} * PeriodsToDate([Date].[Fiscal].[Fiscal Year], [Date].[Fiscal].CurrentMember)
);
End Scope;
Notice the use of the Aggregate function which when executed maps to the default aggregation function of the underlying measure. For some reason with SQL Server 2012, a query that uses the Relative Date dimension experiences a significant performance hit. Replacing Aggregate with Sum fixes the issue, assuming you can sum up the affected measure to produce the time calculations.
What options does a PowerPivot user have to refresh data in a PowerPivot model on the desktop, aka PowerPivot for Excel?
Prior to Excel 2013, the answer was just one – manual refresh by either clicking the Refresh button in the PowerPivot window or the Refresh button in the Existing Connections dialog box. Note that the Refresh button in the Excel ribbon doesn’t work since Excel doesn’t know anything about PowerPivot. Not does the checking the “Refresh data when opening the file” checkbox in the PowerPivot connection. In Excel 2010, these options won’t reopen the PowerPivot connections to the data sources. Instead, the net effect is that they will simply refresh the pivot reports from the pivot cache which is not what you’re after.
Starting with Excel 2013, however, Excel and PowerPivot play better together as I discussed in my What’s New in Office 2013 BI blog. And, now we have additional options to refresh data:
3. Finally, you can also automate PowerPivot tasks, including refreshing data. For example, if you want to refresh the ResellerSales table on open, you can add the following line to the Workbook_Open() event:
ActiveWorkbook.Model.ModelTables(“ResellerSales”).Refresh
Speaking of automation, everything you can do in the Excel UI is exposed in the object model and automatable in Excel 2013. Here is another example of adding a table from the Excel workbook to the model and then creating a relationship between that table and another table which is already in the model:
Workbooks(“Book1”).Connections.Add “WorksheetConnection_Book1!Table2”, “”, “WORKSHEET;Book1”, “Book1!Table2”, 7, True, False
ActiveWorkbook.Model.ModelRelationships.Add ActiveWorkbook.Model.ModelTables(“Table1”).ModelTableColumns(“Name”), ActiveWorkbook.Model.ModelTables(“Table2”).ModelTableColumns(“Name”)
And, don’t forget then when you deploy your PowerPivot model to SharePoint you can automate the data refresh on a schedule.
Besides the usual hassle configuring PerformancePoint, including insufficient permissions to databases and service accounts, version 2013 requires the SQL Server 2008 R2 drivers. This is surprising considering that SharePoint 2013 shipped after SQL Server 2012.
In a previous blog, I explained how to configure the SharePoint 2013 BI Center. When you go to any of the PerformancePoint-related links, such as Dashboards or PerformancePoint Content, you’ll see the following ribbon.
The Dashboard Designer button is the new way to launch the PerformancePoint Designer. However, when you attempt to configure a data source pointing to Analysis Services, you will likely get an error. The first stop for troubleshooting SharePoint and PerformancePoint issues is of course the Windows Event Log. If you examine the Windows Event Log, you’ll see that PerformancePoint fails to load the 10.0 version of Microsoft.AnalysisServices.AdomdClient. This is the version that’s included in SQL Server 2008 R2. This sends you to the SQL Server 2008 R2 Feature Pack page, from where you can download and install the Microsoft SQL Server 2008 R2 ADOMD.NET library. Now, you can connect to Analysis Services.
The next trip to the SQL Server 2008 R2 Feature Pack page will happen when you try to import (not create) KPIs defined in an Analysis Services cube. This time the error in the Event Log indicates that PerformancePoint requires the 10.0 version of the Microsoft.AnalysisServices dll, which represents the Analysis Services Management Objects (AMO). Back to the SQL Server 2008 R2 Feature Pack, you need to download and install Microsoft SQL Server 2008 R2 Analysis Management Objects. While you there, you might as well download and install Microsoft Analysis Services OLE DB Provider for Microsoft SQL Server 2008 R2 although I don’t think PerformancePoint uses it.
Where should I put my BI reports? Should I upload them to department-level SharePoint sites or put them in one place?
These are common questions that we get from customers. Delivering on the promise of pervasive BI, my preference is to centralize BI artifacts in a single place. Ideally, this BI depository should be the SharePoint Business Intelligence Center. If organizational security is required, you can control security at SharePoint site or library level. For example, you can create department-specific PowerPivot galleries.
The BI Center is one of the SharePoint site templates that is specifically designed to host BI reports. In SharePoint 2013, Microsoft has extended the BI Center to accommodate various types of BI documents.
When I first installed the BI Center in SharePoint 2013 (click Settings (the wheel in the top-right corner), Site Contents, New Subsite, Enterprise Tab, Business Intelligence Center), I was confused. The images are not clickable and the default home page doesn’t offer much more. It turned out that by default, the BI Center doesn’t add a navigation menu. To fix this:
This is what the resulting navigation pane might look like. One thing that might not be obvious is that the added benefit of creating your links using the SharePoint structural navigation is that links reflect security. For example, if the user doesn’t have permission to a library, the user won’t see the link. Note that there might be additional steps required, such as to enable the library content types, as with SharePoint 2010.
