Time-Series Data Analysis with Apache Druid
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
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Learn how to use the notebook feature of Azure Data Studio to keep a set of queries together with some documentation.
In the past, Steve hasn't often felt management considered databases to be important, but that is changing.
Learn the basics of how Dynamic Data Masking can be used to obfuscate data in SQL Server 2016+.
New solution allows developers and teams to “buy the base and rent the peak” when provisioning for variable workloads without wastage or performance tradeoffs
Or perhaps another way to phrase that is, Microsoft is up to something with parallelism. I don’t know how long it’s been this way – could even be since the launch of Azure SQL DB Serverless – but I just now noticed it while helping a client with a slow query.
When we need to be heroes in IT on a regular basis, that's a problem for Steve.
This article will show the basic outline for how Python scripts can access and work with data in SQL Server.
I’ve quietly resolved performance issues by re-writing slow queries to avoid DISTINCT. Often, the DISTINCT is there only to serve as a “join-fixer,” and I can explain what that means using an example.
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
Comments posted to this topic are about the item Answering Questions On Dropped Columns
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 t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers