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• TechEd North America 2012 – Day 1 #msTechEd

  - by Marco Russo (SQLBI)

  Yesterday I and Alberto delivered the PreCon day about BISM Tabular in Analysis Services 2012. We received very good feedback and now I am looking forward to meet people that read our blogs and our books! Ping me on Twitter at @marcorus if you want to contact me during the conference. This is my schedule for the next few days: ·         Monday, June 11, 2012 o   10:30am-12:30pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) o   I will try to watch some sessions in the afternoon o   6:30pm-7:00pm I will be at the O’Reilly booth meeting book readers and doing some book signing ·         Tuesday, June 12, 2012 o   12:30pm-3:30pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) o   5:00pm-6:15pm I will attend the Alberto’s session DBI413 Many-to-Many Relationships in BISM Tabular (room S330E) o   6:15pm-9:00pm Community Night & Ask the Experts, we’ll discuss about Analysis Services, Tabular and Multidimensional! ·         Wednesday, June 13, 2012 o   11:15am-11:30am Don’t miss this special demo session at the Private Cloud, Public Cloud and Data Platform Theater in the Technical Learning Center area (next to the SQL Server 2012 zone). I and Alberto will present Querying multi-billion rows with many to many relationships in SSAS Tabular (xVelocity) and you’re invited to guess the response time of DAX queries on a 4 billion rows table with many-to-many relationships before we run them! We’ll give away some 8GB USB key if you guess the right answer! o   12:30pm-1:00pm I and Alberto will have a book signing session at the TechEd Bookstore o   3:00pm-5:00pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) ·         Thursday, June 14, 2012 o   2:45pm-4:00pm I will deliver my DBI319 BISM: Multidimensional vs. Tabular breakthrough session in room S320A. I expect many questions here! And if you want to learn more about Analysis Services Tabular, we announced two more online sessions of our SSAS Tabular Workshop: ·         July 2-3, 2012 - SSAS Workshop Online - America's time zone ·         September 3-4, 2012 - SSAS Workshop Online - America's time zone Register now if you are interested, the early bird for the July session expires on June 19, 2012! I will also deliver a SSAS Workshop in Oslo (Norway) on August 27-28, 2012.  

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• A new clients come into my web agency. How to configure email and social accounts to work better? [on hold]

  - by Marco Panichi

  I created websites for many years but still have not found the right way to organize all the email and social accounts of every clients. I mean, every web agency follows dozens of customers. Each client needs at least Google Analytics, AdWords, a Facebook page, a Twitter profile, a Youtube channel, probably a listing on Google Places and maybe a Mail Chimp (or similar) account. The web agency, in my opinion, must own these accounts, use them to deliver results to the customer and -of course- make them available to the customer for two reasons: - The customer must be able to see how things are going - The client must have the ability to change web agency without suffering The web agency, however, has many problems in having all of these accounts. For example, I like the idea of having a Gmail account for each client and from that account use all the products of Google. But is not possible to create more than many Gmail account from the same ip address and with the same phone number. The web agency could invite the customer to create his own accounts but: - This is not necessary a value for the customer (indeed...) - The web agency would manage them, however, from the same ip address, incurring in problems - If phone verification occurs, the web agency has to disturb the customer for verification Have you the same problem? How to solve it?

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• PowerPivot FILTER condition optimizations

  - by Marco Russo (SQLBI)

  In the comments of a recent post from Alberto Ferrari there was an interesting note about different performance related to the order of conditions in a FILTER call. I investigated about that and Jeffrey Wang has been so nice to give me some info about actual implementation that I can share on a blog post. First of all, an important disclaimer: PowerPivot is intended to make life easier, not requiring the user to think how to write the order of elements in a formula just to get better performance....(read more)

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• Rounding functions in DAX

  - by Marco Russo (SQLBI)

  Today I prepared a table of the many rounding functions available in DAX (yes, it’s part of the book we’re writing), so that I have a complete schema of the better function to use, depending on the round operation I need to do. Here is the list of functions used and then the results shown for a relevant set of values. FLOOR = FLOOR( Tests[Value], 0.01 ) TRUNC = TRUNC( Tests[Value], 2 ) ROUNDDOWN = ROUNDDOWN( Tests[Value], 2 ) MROUND = MROUND( Tests[Value], 0.01 ) ROUND = ROUND( Tests[Value], 2 )...(read more)

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• A new Excel 2010 book for Data Analysis

  - by Marco Russo (SQLBI)

  Microsoft Press just announced the printing of Microsoft Excel 2010: Data Analysis and Business Modeling , which is the third edition of the book written by Wayne L. Winston covering many data analysis and modeling techniques using a very clear problem-solution approach, including a good statistical explanation whenever it is necessary. I suggest this book as a good complement to our Microsoft PowerPivot for Excel 2010: Give Your Data Meaning !...(read more)

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• Strange date relationships with #PowerPivot

  - by Marco Russo (SQLBI)

  A reader of my PowerPivot book highlighted a strange behavior of the relationship between a datetime column and a Calendar table. Long story short: it seems that PowerPivot automatically round the date to the “neareast day”, but instead of simply removing the time (truncating the decimal part of the decimal number internally used to represent a datetime value) a rounding function seems used, moving the date to the next day if the time part contain a PM time. As you can imagine, this becomes particularly...(read more)

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• Parallelize incremental processing in Tabular #ssas #tabular

  - by Marco Russo (SQLBI)

  I recently came in a problem trying to improve the parallelism of Tabular processing. As you know, multiple tables can be processed in parallel, whereas the processing of several partitions within the same table cannot be parallelized. When you perform an incremental update by adding only new rows to existing table, what you really do is adding rows to a partition, so adding rows to many tables means adding rows to several partitions. The particular condition you have in this case is that every partition in which you add rows belongs to a different table. Adding rows implies using the ProcessAdd command; its QueryBinding parameter specifies a SQL syntax to read new rows, otherwise the original query specified for the partition will be used, and it could generate duplicated data if you don’t have a dynamic behavior on the SQL side. If you create the required XMLA code manually, you will find that the QueryBinding node that should be part of the ProcessAdd command has to be moved out from ProcessAdd in case you are using a Batch command with more than one Process command (which is the reason why you want to use a single batch: run multiple process operations in parallel!). If you use AMO (Analysis Management Objects) you will find that this combination is not supported, even if you don’t have a syntax error compiling the code, but you might obtain this error at execution time: The syntax for the 'Process' command is incorrect. The 'Bindings' keyword cannot appear under a 'Process' command if the 'Process' command is a part of a 'Batch' command and there are more than one 'Process' commands in the 'Batch' or the 'Batch' command contains any out of line related information. In this case, the 'Bindings' keyword should be a part of the 'Batch' command only. If this is happening to you, the best solution I’ve found is manipulating the XMLA code generated by AMO moving the Binding nodes in the right place. A more detailed description of the issue and the code required to send a correct XMLA batch to Analysis Services is available in my article Parallelize ProcessAdd with AMO. By the way, the same technique (and code) can be used also if you have the same problem in a Multidimensional model.

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• Understanding #DAX Query Plans for #powerpivot and #tabular

  - by Marco Russo (SQLBI)

  Alberto Ferrari wrote a very interesting white paper about DAX query plans. We published it on a page where we'll gather articles and tools about DAX query plans: http://www.sqlbi.com/topics/query-plans/I reviewed the paper and this is the result of many months of study - we know that we just scratched the surface of this topic, also because we still don't have enough information about internal behavior of many of the operators contained in a query plan. However, by reading the paper you will start reading a query plan and you will understand how it works the optimization found by Chris Webb one month ago to the events-in-progress scenario. The white paper also contains a more optimized query (10 time faster), even if the performance depends on data distribution and the best choice really depends on the data you have. Now you should be curious enough to read the paper until the end, because the more optimized query is the last example in the paper!

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• TechEd North America 2012–Day 2 #msTechEd #teched

  - by Marco Russo (SQLBI)

  This is the second day at TechEd North America 2012 and yesterday I had many conversations about PowerPivot and SSAS Tabular. In the evening the book signing at O’Reilley booth has been a big success! I’m writing this post from the speaker’s room. It’s not crowded this morning because the keynote is going on and there are no people also in the hall, everyone is in the keynote room. Today will be a very busy day: I’ll be staffing at Technical Learning Center from 12:30pm to 3:30pm so this is a first chance for joining the conversation about Tabular and DAX. But there is another choice this evening at Community Night starting at 6:30pm until 9:00pm. Join us at this Ask the Expert event! And, well, don’t miss the Many-to-Many Relationships in BISM Tabular from Alberto this afternoon at 5:00 pm in room S330E. Look at my yesterday’s post if you want to look at our full schedule for the week. Enjoy TechEd!

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• Slowly Changing Dimensions handling in PowerPivot (and BISM?)

  - by Marco Russo (SQLBI)

  During the PowerPivot Workshop in London we received many interesting questions and Alberto had the inspiration to write this nice post about Slowly Changing Dimensions handling in PowerPivot. It is interesting the consideration about SCD Type I attributes in a SCD Type II dimension – you can probably generate them in a more dynamic way in PowerPivot (thanks to Vertipaq and DAX) instead of relying on a relational table containing all the data you need, which usually requires a more complex ETL process....(read more)

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• Rounding functions in DAX

  - by Marco Russo (SQLBI)

  Today I prepared a table of the many rounding functions available in DAX (yes, it’s part of the book we’re writing), so that I have a complete schema of the better function to use, depending on the round operation I need to do. Here is the list of functions used and then the results shown for a relevant set of values. FLOOR = FLOOR( Tests[Value], 0.01 ) TRUNC = TRUNC( Tests[Value], 2 ) ROUNDDOWN = ROUNDDOWN( Tests[Value], 2 ) MROUND = MROUND( Tests[Value], 0.01 ) ROUND = ROUND( Tests[Value], 2 )...(read more)

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• Power Query in Modern Corporate BI–Copenhagen, June 3, 2014–#powerquery

  - by Marco Russo (SQLBI)

  I will be in Copenhagen to deliver the SSAS Tabular Workshop on June 2-4, 2014 (few seats still available, but hurry up!). In the same week I will be a speaker in an evening community event, MsBIP møde nr. 21, delivering the Power Query in Modern Corporate BI session that I also presented at TechEd North America 2014 last week. It’s not just a session about Power Query, there is a broader scope related to Corporate BI vs. Self-Service BI, which could be open to many consideration. I think that the two worlds can (and should) collaborate, instead of fighting against each other, especially when there is an existing investment in Corporate BI. I hope to meet many of you there!

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• Optimize Many-to-Many with SUMMARIZE and Other Techniques

  - by Marco Russo (SQLBI)

  We are still in the early days of DAX and even if I have been using it since 2 years ago, there is still a lot to learn on that. One of the topics that historically interests me (and many of the readers here, probably) is the many-to-many relationships between dimensions in a dimensional data model. When I and Alberto wrote the The Many to Many Revolution 2.0 we discovered the SUMMARIZE based pattern very late in the whitepaper writing. It is very important for performance optimization and it should be always used. In the last month, Gerhard Brueckl also presented an approach based on cross table filtering behavior that simplify the syntax involved, even if it’s harder to explain how it works internally. I published a short article titled Optimize Many-to-Many Calculation in DAX with SUMMARIZE and Cross Table Filtering on SQLBI website just to provide a quick reference to the three patterns available. A further study is still required to compare performance between SUMMARIZE and Cross Table Filtering patterns. Up to now, I haven’t observed big differences between them, even if their execution plans might be not identical and this suggest me that depending on other conditions you might favor one over the other.

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• The updated Survey pattern for Power Pivot and Tabular #powerpivot #tabular #ssas #dax

  - by Marco Russo (SQLBI)

  One of the first models I created for the many-to-many revolution white paper was the Survey one. At the time, it was in Analysis Services Multidimensional, and then we implemented it in Analysis Services Tabular and in Power Pivot, using the DAX language. I recently reviewed the data model and published it in the Survey article on DAX Patterns site. The Survey pattern is the foundation for others, such as the Basket Analysis, and it is widely used in many different business scenario. I was particularly happy to know it has been using to perform data analysis for cancer research! In this article I did some maintenance on the DAX formulas, checking that the proper error handling is part of the formulas, and highlighting some differences in slicers behavior between Excel 2010 and Excel 2013, which could be particularly important for the Survey scenario. As usual, we provide sample workbooks for both Excel 2010 and Excel 2013, and we use DAX Formatter to make the DAX code easier to read. Any feedback will be appreciated!

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• Investigating on xVelocity (VertiPaq) column size

  - by Marco Russo (SQLBI)

    In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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• Parameterize Charts using Excel Slicers in PowerPivot

  - by Marco Russo (SQLBI)

  One new nice feature of Excel 2010 is the Slicer. Usually, slicers are used to filter data in a PivotTable. But they might be also useful to parameterize an algorithm or a chart! We discussed this technique in our book , but Alberto Ferrari wrote a post that shows how to use this technique to allow the user to select two stocks that should be compared in an Excel Chart – as you might imagine, this will work also when you will publish the workbook on SharePoint! This is the result: Nice to see that...(read more)

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• Meet @marcorus and @ferrarialberto at TechEd Europe 2012 #tee2012

  - by Marco Russo (SQLBI)

  I and Alberto are in Amsterdam this week at TechEd Europe 2012. If you are here at the conference, you can meet us here: Wed, Jun 27 10:15 AM - 11:30 AM – Room G106 DBI319 - BISM: Multidimensional vs. Tabular Wed, Jun 27 02:15 PM – 02:30 PM – Microsoft Press Booth in the TechExpo area PowerPivot for Excel 2010 Book Signing Thu, Jun 28 8:30 AM - 9:45 AM – Room E107 Many-to-Many Relationships in BISM Tabular Fri, Jun 29 1:00 PM - 2:45 PM – Breakthrough Insight at Microsoft SQL Server Booth – TechExpo area Staff and Q&A We’ll try to visit the Microsoft Booth very often and we’ll be in the area Breakthrough Insight of SQL Server zone (see the picture to identify it). And don’t miss the PowerPivot for Excel 2010 book signing event:

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• API Class with intensive network requests

  - by Marco Acierno

  I'm working an API which works as "intermediary" between a REST API and the developer. In this way, when the programmer do something like this: User user = client.getUser(nickname); it will execute a network request to download from the service the data about the user and then the programmer can use the data by doing things like user.getLocation(); user.getDisplayName(); and so on. Now there are some methods like getFollowers() which execute another network request and i could do it in two ways: Download all the data in the getUser method (and not only the most important) but in this way the request time could be very long since it should execute the request to various urls Download the data when the user calls the method, it looks like the best way and to improve it i could cache the result so the next call to getFollowers returns immediately with the data already download instead of execute again the request. What is the best way? And i should let methods like getUser and getFollowers stop the code execution until the data is ready or i should implement a callback so when the data is ready the callback gets fired? (this looks like Javascript)

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• Meet @marcorus and @ferrarialberto at TechEd Europe 2012 #tee2012

  - by Marco Russo (SQLBI)

  I and Alberto are in Amsterdam this week at TechEd Europe 2012. If you are here at the conference, you can meet us here: Wed, Jun 27 10:15 AM - 11:30 AM – Room G106 DBI319 - BISM: Multidimensional vs. Tabular Wed, Jun 27 02:15 PM – 02:30 PM – Microsoft Press Booth in the TechExpo area PowerPivot for Excel 2010 Book Signing Thu, Jun 28 8:30 AM - 9:45 AM – Room E107 Many-to-Many Relationships in BISM Tabular Fri, Jun 29 1:00 PM - 2:45 PM – Breakthrough Insight at Microsoft SQL Server Booth – TechExpo area Staff and Q&A We’ll try to visit the Microsoft Booth very often and we’ll be in the area Breakthrough Insight of SQL Server zone (see the picture to identify it). And don’t miss the PowerPivot for Excel 2010 book signing event:

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• PowerPivot Workshop in Frankfurt (and London early-bird expiring soon) #ppws

  - by Marco Russo (SQLBI)

  One week ago I described the PowerPivot Workshop Roadshow that we are planning in several European countries. The news today is that the Workshop will be in Frankfurt (Germany) on February 21-22, 2011 ! The registrations are open on www.powerpivotworkshop.com web site. The early-bird price for Frankfurt will expire on February 4, 2011. And if you are willing to attend the London date on Febrary 7-8, remember that early-bird price for London is going to expire on Monday (January 17) ! Save your money...(read more)

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• Is goto to improve DRY-ness OK?

  - by Marco Scannadinari

  My code has many checks to detect errors in various cases (many conditions would result in the same error), inside a function returning an error struct. Instead of looking like this: err_struct myfunc(...) { err_struct error = { .error = false }; ... if(something) { error.error = true; error.description = "invalid input"; return error; } ... case 1024: error.error = true; error.description = "invalid input"; // same error, but different detection scenario return error; break; // don't comment on this break please (EDIT: pun unintended) ... Is use of goto in the following context considered better than the previous example? err_struct myfunc(...) { err_struct error = { .error = false }; ... if(something) goto invalid_input; ... case 1024: goto invalid_input; break; return error; invalid_input: error.error = true; error.description = "invalid input"; return error;

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• ALL, ALLEXCEPT and VALUES in DAX

  - by Marco Russo (SQLBI)

  When you use CALCULATE in DAX you are creating a new filter context for the calculation, based on the existing one. There are a few functions that are used to clear or preserve a column filter. These functions are: ALL – it can be used with one or more columns from a table, or with the name of a table. It returns all the values from the column(s) or all the rows from the table, ignoring any existing filter context. In other words, ALL clear an existing filter context on columns or table. We can use...(read more)

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• Thinking in DAX (#powerpivot and #bism)

  - by Marco Russo (SQLBI)

  Last week Alberto published an interesting post about Counting Products in the Current Status with PowerPivot . Starting from a question raised from a reader, Alberto described how to solve a common issue (let me know the “current status” of each item at a given point in time starting from a transactions table) by using a single DAX formula. I suggest you to read his post to understand the technical details of that. What is inspiring of this example is that we can look at Vertipaq and DAX from several...(read more)

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• Stock Analysis and Moving Average with PowerPivot

  - by Marco Russo (SQLBI)

  One week ago Alberto Ferrari wrote a post about how to do working days calculation in PowerPivot . You might think this is necessary only for accounting department or something like that… but in reality the same techniques are really useful to implement calculations that might be useful when you want to implement some stock analysis using PowerPivot and Excel! As you might know, in PowerPivot it is important having a Dates table containing all the days, without exceptions. But when you manage stock...(read more)

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• TechEd North America 2012–Day 3 #msTechEd #teched

  - by Marco Russo (SQLBI)

  Yesterday I spent the longest day at this TechEd: we talked with many people at Community Night until 9pm and I have to say that just a few months after Analysis Services 2012 has been released, there are many people already using it. And the adoption of PowerPivot is starting to be quite large. Many new ideas and challenging coming from several different real world scenarios. I was tired but really happy. Alberto presented his Many-to-Many Relationships in BISM Tabular session that was in the same time slot of the BI Power Hour. For this reason, very few people attended Alberto’s session so I think many will watch the recorded session (it should be available within a few days). So what about today? I’ll spend some time at Technical Learning Center area (full schedule here) but the most important event today will be the Querying multi-billion rows with many to many relationships in SSAS Tabular (xVelocity) at the Private Cloud, Public Cloud and Data Platform Theater in the Technical Learning Center area (next to the SQL Server 2012 zone).  Why you should attend? Mainly because you will see live demo over 4 billion rows table with many-to-many relationships involved in complex queries. But for those of you that think this is not enough to attend a 15 minute funny session, well, we’ll give away some 8GB USB Memory Keys to those of you that will guess exact response time of queries before execution. Convinced? Join us at 11:15am and don’t be late, the session will finish at 11:30am! After that, we’ll run a book signing session at the Bookstore at 12:30pm and I will be in the Technical Learning Center area at 3:00pm until 5:00pm. See you there!

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