Tag Archives: Excel 2013 PowerPivot

The Model of a very modern PowerPivot – without the add-in

My last post demonstrated a method by which explicit PowerPivot DAX measures could be created in any version of Excel 2013 without  the PowerPivot add-in. Here’s another method, this time using Excel 2010’s PowerPivot add-in (available for all versions of 2010) to design the model and the OpenXML SDK to copy the resulting model to an Excel 2013 workbook.

I had thought originally that this wasn’t possible; when I first tried it, the model copied OK but the workbook connection couldn’t access it. Turned out, this was due to using a V1 model that although upgraded to V2 still used the “Sandbox” cube name rather than the now expected “Model” name. So, all models must be created in PP V2 for this to work.

Also, the “receiving” Excel 2013 workbook must be primed with a data model (easiest way without the add-in is to create two tables and link via relationships option, or just use the Model_2013_template workbook provided).

You can download a POC workbook Example_CopyModels_no_Addin demonstrating this method from here. 

Note:

You’ll need to modify the paths of the example workbooks to suit your environment.

Also, if you copy the workbook out of the downloaded folder, make sure to copy the datasmith xll of the right “bitness” and copy the DocumentFormat.OpenXml.dll or ensure one is available on the GAC or PATH.

Before using the datasmith xll for the first time, right-click and unblock, this can also be a good idea for workbooks with external connections, otherwise Excel can sometimes keep certain functionality “locked” 1st time you access such files.

Having copied the model into the Excel 2013 workbook, save & re-open before making any further changes.

If you look  at the code you’ll see it’s also possible to copy models for 2010 to 2010 and from 2013 to 2013 or indeed from 2013 back to 2010. This general coping of models from workbook to workbook was the use-case I had in mind when I first discovered this (not as a way of getting around lack of add-in). Very useful during model development allowing different views to be tried against a first developed (or commonly used) data model. Could also be used when live to allow a single model-refresh to be used by many “view” workbooks.

Have fun.

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Look’s like Star Schema is back on the menu!

looks-like-meats-back-on-the-menu-boysAs the release date for Excel 2013 gets nearer (in fact Home Premium has already arrived) the pricing and package offering are becoming clear(er). For many of us the emerging picture is not pretty, mainly due to a u-turn on Microsoft’s part i.e. removing the PowerPivot add-in as an option for most low-end Office 365 packages and ALL retail versions.

Rob Collie goes into the likely back story (and politics) behind such an obviously (well to those of us at the Excel coal face) stupid move. MS not only led some of her most ardent evangelists up the proverbial “garden path” with PowerPivot under Excel 2010 (never before has a major feature been so restricted in a subsequent version) but also gave a false and misleading impression of the new Office 365 packages during the current trial period (i.e. where all versions have the PP add-in (and PowerView!) as an option). Being lied to is the expression the keeps coming to mind.

250px-Gandalf_the_White_returnsThere is, however, a silver lining, Excel 2010’s Data Model. If I had never seen the power of DAX Measures (which is, in essence, what lack of the add-in deprives you of) I would be completely bowled over by the data handling power of the Data Model (it is, in effect, the Vertipaq Columnar Engine with all its power and glory – minus the ability to create (but can consume) explicit DAX measures & columns ). But I have, so hence my disappointment 😦

But even without the add-in, the Data Model opens up a whole world of data munging potential.

At its simplest, it makes “VLookup hell” a thing of the past. This alone, as any who have laboured under the tyranny of VLookup (and her cousins Index & Match) will agree, is a huge reason to upgrade to Excel 2013.

Also, all versions of Excel (OK, not all: RT and basic Web Apps do not support the DataModel) can consume a DAX-rich model produced by somebody else who has access to the add-in. Now before you get too excited, models produced by the free and widely available 2010 version must still be upgraded by the 2013 version before they can be used by 2013’s Data Model. UPDATE:  Previous statement not quite true, it is possible to transfer the binary data file holding the model from 2010 to 2013 (but must be a V2 generated model, V1s or V2s upgraded from V1, will not work).  Have done a POC and will likely add this facility as a public command to HAMMER in the near future.

It is also possible to create DAX Measures and even Calculated Columns against all Data Model enabled versions using an AMO powered .NET add-in. Last week, being a hacker at heart, I created a POC using Python within my HAMMER micro ETL toolset to do just that. No PowerPivot add-in required to populate even the humblest Excel version with sophisticated DAX models!

And there’s more!  You also use DAX Queries to generate tabular output from a plain Data Model, see Chris Webb’s example. Again, a PP-add-in-free-zone

But why the title, why are Star Schema’s back on the menu and were they ever off the menu?

In this post (and the related posts linked to within) I’ve argued that the strict “laws and practices” of dimensional modelling (as popularised by Kimball et al.) can be relaxed (and often ignored).  The world that spawned such ‘best practices’ was not a world of DAX powered, or even MDX powered, data models, it was one where the RDBMS’s version of a hyper-cube – the start schema – ruled.

The only tool was SQL (with its limited aggregate functions) and the single-issue star-schema was the only viable data structure. But sophisticated summary tables techniques (requiring an army of DBAs)  and new RDBMS optimizers were needed to get a reasonable response time. Plus, much of the work (and most of the cost) was in the ETL phase. That’s the world I cut my BI teeth in. How we would have wished for a modern columnar engine! And now, 20 or so years later, such a thing exists, in a spreadsheet! So dust off your Kimball Dimensional modelling books, the plain-old ETL’d star-schema is back in town!

But what about the ETL required to build such pure stars? Again, add-in-free DAX Query to the rescue! Like this, to create a Time Dimension. Dimensional data could easily be enhanced (e.g. adding ABC type attributes) using similar techniques.

Fact data could be more of a problem (due to the 1M row limit of an Excel table – the output medium of Excel-based DAX Queries). But again, if you have access to even the most basic of relational databases (like the inbuilt SQLite engine in  HAMMER) even the shaping of very large fact tables can be handled. For more demanding requirements maybe use AWS’s Data Pipeline  “ETL-in-the-cloud”?

Anybody with experience of using pure stars will of course be aware of the downside i.e. the restrictive nature of the end result. Such data models tend to deal with a limited number of “questions” especially compared to DAX-destined data models (which can be very close to their OLTP sources in structure).

But that can also be an upside, depending on the likely end-users of the “cube”. The simple single-issue pure star-schema is often better suited to an environment where most are “consumers” rather than “explorers” of data.

In any case, it would be nice to have the option to service both end-user types. So please Microsoft, at the very minimum, revert back to the 2010 scenario i.e. PowerPivot as  downloadable add-in. If you do, the phrase “Oh, it’s just Excel” will for the history books.

UPDATE: Aug 2013

MS have seen sense! Excel 2013 Standalone Retail version, now comes with both PowerPivot and Power Query (aka Data Explorer) add-ins. http://support.microsoft.com/kb/2817425