Level 6 of the Stairway to Synapse Analytics: Dedicated SQL Pool
This next level of the Stairway to Synapse Analysis Services looks at the Dedicated SQL Pool.
2025-06-06 (first published: 2025-05-07)
681 reads
This next level of the Stairway to Synapse Analysis Services looks at the Dedicated SQL Pool.
2025-06-06 (first published: 2025-05-07)
681 reads
Snowflake has its own CLI tool: SnowSQL. In this level of the Stairway Series learn how to work with this dialect in Snowflake and Visual Studio Code.
2025-06-13 (first published: 2024-11-20)
1,910 reads
In this next level of the Stairway to Snowflake, learn about creating and dropping databases, with some options for cloning from different sources.
2025-06-13 (first published: 2025-01-15)
2,438 reads
Introduction In Level 1 of this series, I discussed Synapse Analytics basics and the steps for creating the Synapse Workspace. In Level 2, we analyzed Data Lake files using the Serverless SQL Pool. In Level 3, we analyzed Data Lake files using the Spark Pool. In Levels 4 and level 5, I will discuss the Delta […]
2025-06-06 (first published: 2024-12-18)
1,904 reads
This next level of the Stairway to Snowflake looks at the Snowsight UI and what you can accomplish with it.
2025-06-13 (first published: 2024-10-23)
1,842 reads
In the next level of the Stairway to Database Containers, let's learn to use a compose file to specify a number of options for our container.
2024-08-28
1,113 reads
In this second level of the Stairway to Synapse, we learn how to create external tables and query data that is stored in our data storage using the serverless pool.
2025-06-06 (first published: 2024-08-14)
1,043 reads
This next level of the Stairway to TDE shows how to upgrade your EKM cryptographic provider.
2026-04-15 (first published: 2024-07-17)
984 reads
In this first level of the Stairway to Synapse Analytics, we learn how to set up a new workspace and add data files.
2025-06-06 (first published: 2024-07-03)
1,402 reads
Business Intelligence Architect, “Analysis Services Maestro, and author Bill Pearson introduces two somewhat similar DAX Time Intelligence functions related to “parallel” Date periods: PARALLELPERIOD() and SAMEPERIODLASTYEAR(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
2026-04-15 (first published: 2024-01-24)
1,838 reads
Materialized lake views (MLVs) in Microsoft Fabric are an effective way to implement medallion...
By Steve Jones
I don’t have SQL Server installed on my laptop. In an effort to keep...
Comments posted to this topic are about the item Increase Deadlock Detection
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Comments posted to this topic are about the item Understanding Deadlock Victim Selection in...
How can I alter the deadlock detection interval to 2 seconds instead of 5 seconds on my SQL Server 2025 instance?
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