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)
679 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)
679 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)
1,892 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)
2,436 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)
1,899 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)
1,814 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
1,111 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)
967 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)
1,401 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)
1,830 reads
By gbargsley
It's 2 AM. Your phone is going off. Users can't connect to the application,...
By Steve Jones
I discovered a procedure recently that I wasn’t aware of: sp_sequence_get_range. This post looks...
By Arun Sirpal
After a year away getting to grips with AI and its application across the...
Fisher Phillips is looking for a Financial Systems Administrator to help support and improve our financial...
Employee owned company, been around for over 50 years. Hybrid opportunity, looking folks in Pacific...
i have huge table with lot of data and is also wide. i took...
I want to create a JSON document that contains data from this table:
TeamID TeamNameCity YearEstablished 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960If I run this code, what document(s) is/are returned?
SELECT json_objectagg( n.city : n.TeamName) FROM dbo.NFLTeams;See possible answers