Stairway to Azure SQL Hyperscale Level 6: Backup and Restore Internals
Learn how backup and restore work in Azure SQL Hyperscale in this next level in the stairway series.
2025-12-17
780 reads
Stairway Series
Stairway to Azure SQL Hyperscale Level 5: Data Growth and Fast Auto-Grow Mechanism
In this level, we learn about the database file size growth in Hyperscale.
2025-12-03
83 reads
Stairway to Azure SQL Hyperscale Level 4: Log Service and Transaction Management
Learn about how the Log Service helps manage transactions in the Hyperscale Tier.
2025-10-29
1,068 reads
Stairway to Azure SQL Hyperscale – Level 2: Page Server Architecture Explained
In Level 2 of the Stairway to Hyperscale, we learn about Page Servers in more detail.
2025-09-17
805 reads
Introduction of Azure SQL Hyperscale: Stairway to Azure SQL Hyperscale Level 1
In Level 1 of the Stairway to Azure SQL Hyperscale, we learn about the architecture and create a hyperscale instance.
2025-09-03
3,877 reads
Stairway to Snowflake Level 8 - Event Tables
In this next level of the Stairway to Snowflake, we delve into Event Tables. These are used to capture telemetry from your Snowflake database.
2025-07-02
610 reads
Stairway to Snowflake Level 7 - Snowflake Tables
In this next level of the Stairway to Snowflake we examine the wide variety of table types that exist in the platform.
2025-06-13 (first published: 2025-05-21)
1,607 reads
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)
666 reads
Stairway to Snowflake Level 5 - Using Snowflake with SnowSQL and Visual Studio Code
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)
1,763 reads
Stairway to Snowflake Level 6 - Creating and Cloning Snowflake Databases
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)
2,416 reads
Blogs
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Remotely Engineer Fabric Lakehouse objects: The Fabric Modern Data Platform
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Creating JSON III
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Testing is Becoming More Important
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Question of the Day
Creating JSON III
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers