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)
1,870 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)
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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
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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)
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This next level of the Stairway to TDE shows how to upgrade your EKM cryptographic provider.
2024-07-17
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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)
1,388 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.
2024-01-24
1,807 reads
In this level you will learn about the SQLServer PowerShell module that ships with modern versions of SSMS.
2024-01-20 (first published: 2024-01-17)
1,657 reads
In the fourth level of this series, we will examine how you can use the scripting classes to create the code to manage your SQL Server instances and databases.
2024-01-20 (first published: 2023-12-13)
1,892 reads
The first three levels of this series have been the lead-up to this level, automating the database deployment with Azure Pipelines. First, we started with an introduction to Azure DevOps and the Git client. Next, SQL Source Control was introduced to manage a database’s schema and manually deploy changes from the database to source control […]
2023-12-06
2,396 reads
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers