External Article

INFO.VIEW DAX Functions Usage and Examples

In the December 2023 Microsoft Power BI Desktop release, more than 50 new INFO DAX functions were added. They all start with “INFO.” and return the same result as corresponding data management views (DMVs) that were available before only using a SQL-like syntax. With these new DAX functions, you can use the recently added DAX query to get metadata about your semantic mode

SQLServerCentral Editorial

Shadow AI Data Leak Risk or “From the Desk of I saw that Coming”

CSO recently published an article based on a report from Harmonic about generative AI data leaks, and the findings were eye-opening. According to the report, over 8% of employee prompts to public large language models (LLMs) contained sensitive data, ranging from security and compliance issues to privacy and legal vulnerabilities. This wasn’t just a handful […]

Technical Article

The Power of Generate_series

SQL 2022 introduced the function generate_series which permits us to solve problems for which we previously had to use a table of numbers (also known as a "tally table"). generate_series is a great addition, because when using a table of numbers there was always a risk that you could run out of numbers. Or some joker could have deleted rows from the table. All these worries are gone with generate_series.

SQLServerCentral Article

Determining Whether Home Addresses Fall Within a Tornado Polygon Using Spatial Functions

Geographic information systems (GIS) play a critical role in emergency response planning and risk assessment. One of the key challenges in this field is determining whether a specific location falls within an area of interest. This capability is especially valuable for property and casualty (P&C) insurers, who need to assess their insured property exposure when severe weather events such as tornadoes occur.

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The Security of Old Tech

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Tables with a SPARSE Column and Consumption

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Question of the Day

Tables with a SPARSE Column and Consumption

True or False:  Tables with a SPARSE column consume more space than regular columns if most values are NOT NULL.

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