Calculating Age in Power BI
In week 26 of Workout Wednesday for Power BI, I asked people to calculate the age of Nobel laureates at the time they received the award. I provided some...
2021-07-21 (first published: 2021-07-09)
411 reads
Data Savvy
Altering a Computed Column in a Temporal Table in Azure SQL
System-versioned temporal tables were introduced in SQL Server 2016. They provide information about data stored in the table at any point in time by storing an effective dated version...
2021-05-07 (first published: 2021-04-22)
208 reads
Control Flow Limitations in Data Factory
Control Flow activities in Data Factory involve orchestration of pipeline activities including chaining activities in a sequence, branching, defining parameters at the pipeline level, and passing arguments while invoking...
2021-04-06 (first published: 2021-03-25)
200 reads
Initial Thoughts on Dremio
I’ve been working on a project for the last few months with a client who has chosen to implement Dremio in Azure. Dremio is a data lake engine that...
2021-03-23 (first published: 2021-03-18)
107 reads
Azure Data Factory Activity Failures and Pipeline Outcomes
Question: When an activity in a Data Factory pipeline fails, does the entire pipeline fail?Answer: It depends In Azure Data Factory, a pipeline is a logical grouping of activities...
2021-02-25 (first published: 2021-02-18)
617 reads
Zooming In on a Power BI Report
Have you ever tried to use your browser to zoom in on a visual in a Power BI report? If you simply published your report and then zoomed in,...
2021-02-18 (first published: 2021-02-11)
459 reads
Granting ADLS Gen2 Access for Power BI Users via ACLs
It’s common that users only have access to certain folders in an Azure Data Lake Storage container. These permissions are provided not through Azure RBAC (role-based access control) roles...
2021-02-09 (first published: 2021-02-04)
186 reads
One Chart at A Time Video Series
Jon Schwabish over at PolicyViz has created great initiative called the One Chart at a Time Video Series. It’s an effort to expand readers’ graphic literacy through short videos...
2021-02-03 (first published: 2021-01-27)
555 reads
Retrieving Log Analytics Data with Data Factory
I’ve been working on a project where I use Azure Data Factory to retrieve data from the Azure Log Analytics API. The query language used by Log Analytics is...
2021-01-05 (first published: 2020-12-24)
399 reads
Workout Wednesdays for Power BI in 2021
I’m excited to announce that something new is coming to the Power BI community in 2021: Workout Wednesday! Workout Wednesday started in the Tableau community and is expanding to...
2020-12-30 (first published: 2020-12-18)
369 reads
Blogs
AI: Blog a Day – Day 4: Transformers – Encoder, Decoder, and Attention
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
Flyway Tips: Multiple Projects
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
What DevOps Look Like in Microsoft Fabric
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
Forums
Can an Azure App Service Managed Identity be used for SQL Login?
I'm fairly certain I know the answer to this from digging into it yesterday,...
Azure Synapse database refresh
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
how to write this query?
hi everyone I am not sure how to write the query that will produce...
Question of the Day
Fun with JSON I
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