Loading Data using R and PowerBI
I'm not a fan of R visuals in PowerBI. I recently learned I can use R to load data and native PowerBI visuals to display the data. Here's how.
2022-05-27 (first published: 2017-10-16)
7,009 reads
Nick Burns
Pattern Recognition via Principal Components Analysis
We'll look at using principal components analysis to help visualise your data and detect underlying structure or patterns.
2019-10-25 (first published: 2017-09-12)
10,458 reads
Moving beyond principal components analysis
Principal components analysis is a standard, but usually terrible, technique for visualising complex data. We're using network diagrams to solve this problem.
2019-10-11 (first published: 2017-09-19)
2,584 reads
Real-time moving averages for IoT with R
Computing an average over all your data is easy, but what if your data arrives incrementally and you need to be able to compute real-time averages on the fly? That's what we are going to look at.
2019-10-04 (first published: 2017-10-02)
3,033 reads
Configuring R Services in SQL Server 2016
R Services provides in-database analytics in SQL Server 2016. In this article we step through configuring R Services and get you started with in-database analytics.
2018-05-28 (first published: 2016-01-27)
4,926 reads
The Shortcomings of Predictive Accuracy
In prediction, accuracy is key. But it's not all it's cracked up to be as we will explore.
2017-09-07
1,299 reads
Analysing Sales Patterns: R + SQL Server
We show how to use RevolutionR to analyse & visualise purchasing behaviours in AdventureWorksDW2012.
2017-08-18 (first published: 2015-12-15)
7,968 reads
Machine Learning for Outlier Detection in R
A look into clustering to detect outliers in R. An extension on univariate statistical tests to include multivariate data.
2017-07-05
3,904 reads
Scoring Outliers in Non-Normal Data with R
Using R to detect outliers is relatively easy, but most methods assume your data is normally distributed. How do you handle skewed datasets?
2017-06-29
5,627 reads
Scoring Outliers with R
What is normal? More to the point, what is abnormal? We will look at using R to score outliers in a typical monitoring dataset.
2017-06-19
4,105 reads
Blogs
Microsoft announces new cybersecurity AI multi-model
By Brian Kelley
Yesterday, July 27, 2026, Microsoft announced a new cybersecurity effort called Project Perception. Included...
Getting the SQL Server MCP Server Running
By Steve Jones
If you’ve wanted a SQL Server MCP server for your databases, it’s available. The...
Introducing azsql-migration-test: Test and Validate Azure SQL Database Migrations
Introducing azsql-migration-test, a small open-source CLI that validates your Azure SQL Database migrations against...
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Question of the Day
Symmetric Key Encryption
If I run this statement in SQL Server 2025, how is the password encrypted?
CREATE SYMMETRIC KEY MySymmetricKey WITH ALGORITHM = AES_256, KEY_SOURCE = 'My secret key source passphrase', IDENTITY_VALUE = 'My secret identity value' ENCRYPTION BY PASSWORD = 'S&perS#cretP@ssword7'; GOSee possible answers