2024-06-19
3,271 reads
Articles
SQL Server TRY CATCH, RAISERROR and THROW for Error Handling
Learn about SQL Server error handling using TRY CATCH, RAISERROR, and THROW for stored procedures, triggers, and user-defined functions.
2024-06-19
2024-06-17
16,658 reads
The CHECK() Constraint
One of the many ways a relational table differs from the file structures used by pre-relational storage systems is that the tables, rows and columns can have constraints on them. This allows you to reduce the types of bad data that can be loaded into your tables.
2024-06-17
Fine-grained Access Control for Stored Procedures
Fine-grained access control for stored procedures using a programmable database proxy
2024-06-14
1,834 reads
Power BI Treemap Chart Step-by-Step Tutorial
Microsoft Power BI Desktop provides a wide variety of visuals to its users. Sometimes, one wants to conduct a comparative analysis, a simple way to explore the relationship between the data categories within a set hierarchy. Hence, when a decision revolves around understanding the relationship of each element, this visual can provide an insightful analysis. This article will highlight all the steps to create a treemap chart in Power BI Desktop.
2024-06-14
Memory Grant Feedback Persistence in SQL Server 2022
By using input from real memory consumption during query execution, Memory Grant input Persistence in SQL Server 2022 is a potent feature that helps optimize query performance. In order to improve the accuracy of memory grant calculations for subsequent executions of the same or comparable queries, SQL Server gathers and stores this information.
2024-06-12
2,287 reads
PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions
Two new open-source extensions from Timescale make PostgreSQL even better for AI applications, unlocking large-scale, high-performance AI use cases previously only achievable with specialized vector databases like Pinecone.
2024-06-12
653 reads
Snake draft sorting in SQL Server, part 4
In the previous posts in this series (part 1, part 2, part 3), I described how I have optimized a long-running set of routines by processing databases, tables, and even subsets of tables in parallel. This leads to many separate jobs that all kick off at roughly the same time
2024-06-12
How to Set Up Microsoft Fabric Database Mirroring for Azure Cosmos DB
This article shows how to configure database mirroring from CosmosDB to Microsoft Fabric.
2024-06-10
1,329 reads
Blogs
T-SQL Tuesday #199 Invitation: Back to on-prem?
It’s time for T-SQL Tuesday again! And we’re almost to number 200! T-SQL Tuesday...
Data Skew in Data Engineering: What It Is and How to Fix It
You kick off a distributed job expecting it to finish in minutes — but...
Error Deploying GraphQL in Fabric: dm_exec_describe_first_result_set
A while ago we suddenly had an error while trying to deploy one Fabric...
Forums
Secure Cached Plans
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Complex Data Processing with dbt Python Models: The Fabric Modern Data Platform
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Over or Under Provisioned
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Question of the Day
Secure Cached Plans
The DMV, sys.dm_exec_cached_plans, contains rows for each cached plan on an instance. In Azure SQL Database, not every used has rights to every database, as there does exist an instance behind each database. How is security handled for this DMV in Azure?
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