A Fine Slice Of SQL Server
Steven Sanderson notices the difference:
The
diff()function in R calculates the differences between consecutive elements in a vector or a time series. It takes a single argument, which is the input vector, and returns a new vector with the differences. This function is particularly useful for analyzing the rate of change, identifying patterns, and detecting anomalies in your data.
Read on to see how you can use it, as well as some examples of usage.
Comments closedMark Broadbent saves some money via pool auto-pausing:
This capability is neither earth shatteringly new nor unexpected, and something that Databricks has provided for some time. Of the two Data Exploration & Data Warehousing Pool types, Synapse Serverless Pool (otherwise know as the built-in Pool) by its very definition does not incur compute charges when it is not running.
Therefore this leaves us with only dedicated SQL Pool to worry about and this is where our problems begin.
Click through for the scripts to pause and resume a dedicated SQL pool, and Mark promises a part 2 in which we see the automation.
Comments closedLeila Etaati breaks out Power Query:
There is a common way of seeing data in Excel as a Matrix format; many data entries look like a matrix in many contexts, from accounting to health data. However, to better analyze data and add more calculations and charts and, in general, get more insight from data, we need to change the matrix data in Excel to a tabular format in Power BI.
For example, below table, we have data about the Deaths from Cancer of Lip, oral cavity, and pharynx by age, sex, and year.
Not surprisingly, Power Query does a really good job at handling this common Excel style.
Comments closedPaul Turley lays out an explanation:
Back in December, I posted this short article about how Power BI can participate in Continuous Integration & Continuous Deployment (CI/CD), from simplified code sharing and version control all the way up to fully-automated Build automation & deployment scenarios. However, since the product inception, there have been significant challenges in orchestrating versioning and code sharing with a single PBIX file. Achieving DevOps and CI/CD was possible but it required creative work-arounds and manual steps. In April of this year, Nathan Hales contributed this post, showing how to use Tabular Editor to manually decompose a PBIX file into a Model.bim and then create a Git repo and Azure DevOps project.
Although the essential pattern is the same, the need for manual steps and work-arounds is eliminated with this new feature release!
This is really good news, and Paul shows you how to enable the feature (currently in preview) and use it.
Comments closedJoseph Pilov puts together a compendium:
In the past 1.5 years we in the SQL Server CSS and content teams have been working on creating new documentation to assist with troubleshooting SQL Server slow performance issues.
Here is a list of articles that were produced over this period. Hope you find these useful. Please share with others and don’t hesitate to provide feedback at the bottom of each article page by clicking on “Was this page helpful?”.
The following individuals contributed with reviews, ideas, project management and content creation: Shaun Beasley, Pradeep Madheshiya, Stephanie Okhagbuzo, Hemin Shah, Liwei Yin, Seven Dong, Haiying Yu
Read on for 14 separate articles covering a variety of issues.
Comments closedErik Svensen tries out an updated visual:
In the June 23 release of Power BI desktop we has been blessed with a new card visual that not only will give a better performance compared to adding multiple cards in the past but it also gives us some formatting options we have been dreaming of for a long time.
Here is a link to the official blogpost – New card visual | Public preview | Microsoft Power BI Blog | Microsoft Power BI
On social media you have probably already seen a lot of examples of usages, and I wanted to share how you can add a sparkline to the card to make it look something like this.
Erik does a good job of showing off the capabilities of this updated card visual.
Comments closedIain Evans finds a hidden cost:
To find the root cause, we conducted a configuration comparison of the servers against an Aireforge configuration snapshot to check for any changes. We immediately noticed that an extended event session called
SQLAdvancedThreatProtectionTraffichad recently been deployed. This session is deployed by default with Azure Defender for SQL Server. More info: https://learn.microsoft.com/en-us/azure/defender-for-cloud/defender-for-sql-introduction#advanced-threat-protection
Read on to see what the symptoms were and what kind of impact this had.
Comments closed