Association rules are very handy for analyzing Retail data. And WWI database has really neat set of invoices that can be used to make a primer. Starting with following T-SQL query: USE WideWorldIMportersDW; GO ;WITH PRODUCT AS ( SELECT   [Stock Item Key]  ,[WWI Stock Item ID]  ,[Stock Item]  ,LEFT([Stock Item], 8) ...

In my previous blog post, I was focusing on data manipulation tasks with RevoScaleR Package in comparison to other data manipulation packages and at the end conclusions were obvious; RevoScaleR can not (without the help of dplyrXdf) do piping (or chaining) and storing temporary results take time and on top ...

Long I wanted to test a simple data manipulation tasks and compare the execution time, ease of writing the code and simplicity between T-SQL and R package for data manipulation. Couple of packages I will mention for data manipulations are plyr, dplyr and data.table and compare the execution time, ...

FileTable has been around now for quite some time and and it is useful  for storing files, documents, pictures and and binary files in a designated SQL Server table – FileTable. The best part of FileTable is the fact one can access it from windows or other application as if it ...

It came to my attention that size of XDF (external data frame) file can change drastically based on the compute context and environment. When testing the output of a dataset I was working on in SQL Server Management Studio I was simultaneously testing R code in RTVS or  R Studio ...

First satRdays in Budapest September 03, 2016 event is completed. This one day, community driven event with regional for very affordable prices, good for networking, getting latest from R community event is over. And it was a blast! Great time, nice atmosphere, lots of interesting people and where there is a good ...

Setting external resource pool for execution of R commands using sp_execute_external_script has proven extremely useful, especially in cases where you have other workers present, when you don’t want to overdo on data analysis and get to much resources from others (especially when running data analysis in ...

I have seen several time, that execute R code using procedure sp_execute_external_script was not valid due to missing library or library dependencies. Problem is – in general – not solved out of the box. But can be solved using and maintaining a list of installed libraries used by Microsoft ...

Installing R packages in SSMS using T-SQL can take some time, especially when you need to switch between R Tools for Visual Studio or R Studio or your favorite R GUI tool (or R CMD). But so far, installing any additional library using sp_execute_external_script is just not ...

With RTM version of SQL Server 2016, sp_execute_external_script stored procedure has undergone couple of changes prior to it’s final outlook. The parametrization of this external procedure somehow resembles a typical extended stored procedure. Indeed, sp_execute_external_script is an extended stored procedure written using CLR (whereas ...

SP_EXECUTE_EXTERNAL_SCRIPT is a stored procedure that execute provided script as argument on external script to a provided language (in this case R language). To enable normal function of this external stored procedure, you must have administrator access to your SQL Server instance in order to run sp_...

SQL Server Radio with Matan Yungman (info | twitter| company ) and Guy Glantser (info | twitter | company ) was hosting me for SQL Server radio 52th series. Main topic was discussion on  data science, statistics, who data scientist is and what SQL Server offers with R integration, SSRS, PowerBI, Excel and other tools. […]

When running with R code and sp_execute_external_script it is very handy to know where all the output log files are being generated and what additional information about the session is available and which folders are useful when working with external stored procedure sp_execute_external_script. Session ...

Clustering (distributed in particular) can  be dependent on normalization of data. With usage of distance models, data – when clustered – can produce different results or even different clustering models. A simple every day example can produce two different results. For example, measuring units.  For this purpose we will create two R ...