Analyze Azure Analysis Services Data in R

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Azure Analysis Services ODBC Driver

The Azure Analysis Services ODBC Driver is a powerful tool that allows you to connect with live data from Azure Analysis Services, directly from any applications that support ODBC connectivity.

Access Azure Analysis Services data like you would a database - read, write, and update Azure Analysis Services AnalysisServicesData, etc. through a standard ODBC Driver interface.



Create data visualizations and use high-performance statistical functions to analyze Azure Analysis Services data in Microsoft R Open.

Access Azure Analysis Services data with pure R script and standard SQL. You can use the CData ODBC Driver for Azure Analysis Services and the RODBC package to work with remote Azure Analysis Services data in R. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular, open-source R language. This article shows how to use the driver to execute SQL queries to Azure Analysis Services data and visualize Azure Analysis Services data in R.

Install R

You can complement the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open (MRO).

Connect to Azure Analysis Services as an ODBC Data Source

Information for connecting to Azure Analysis Services follows, along with different instructions for configuring a DSN in Windows and Linux environments.

To connect to Azure Analysis Services, set the Url property to a valid server, for instance, asazure://southcentralus.asazure.windows.net/server, in addition to authenticating. Optionally, set Database to distinguish which Azure database on the server to connect to.

Azure Analysis Services uses the OAuth authentication standard. OAuth requires the authenticating user to interact with Azure Analysis Services using the browser. You can connect without setting any connection properties for your user credentials. See the Help documentation for more information.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Windows

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Linux

If you are installing the CData ODBC Driver for Azure Analysis Services in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData AAS Source] Driver = CData ODBC Driver for Azure Analysis Services Description = My Description URL = asazure://REGION.asazure.windows.net/server

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Load the RODBC Package

To use the driver, download the RODBC package. In RStudio, click Tools -> Install Packages and enter RODBC in the Packages box.

After installing the RODBC package, the following line loads the package:

library(RODBC)

Note: This article uses RODBC version 1.3-12. Using Microsoft R Open, you can test with the same version, using the checkpoint capabilities of Microsoft's MRAN repository. The checkpoint command enables you to install packages from a snapshot of the CRAN repository, hosted on the MRAN repository. The snapshot taken Jan. 1, 2016 contains version 1.3-12.

library(checkpoint) checkpoint("2016-01-01")

Connect to Azure Analysis Services Data as an ODBC Data Source

You can connect to a DSN in R with the following line:

conn <- odbcConnect("CData AAS Source")

Schema Discovery

The driver models Azure Analysis Services APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:

sqlTables(conn)

Execute SQL Queries

Use the sqlQuery function to execute any SQL query supported by the Azure Analysis Services API.

customer <- sqlQuery(conn, "SELECT Country, Education FROM Customer WHERE Country = 'Australia'", believeNRows=FALSE, rows_at_time=1)

You can view the results in a data viewer window with the following command:

View(customer)

Plot Azure Analysis Services Data

You can now analyze Azure Analysis Services data with any of the data visualization packages available in the CRAN repository. You can create simple bar plots with the built-in bar plot function:

par(las=2,ps=10,mar=c(5,15,4,2)) barplot(customer$Education, main="Azure Analysis Services Customer", names.arg = customer$Country, horiz=TRUE)