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.
2023-11-10
14,593 reads
Learn the basics of Apache Druid and how it can be used to ingest data into a data lake.
2023-11-10
14,593 reads
Get ready to be blown away! The highly anticipated Microsoft Build in May 2023 has finally unveiled its latest and greatest creation: the incredible Microsoft Fabric - an unparalleled Data Intelligence platform that is guaranteed to revolutionize the tech world! fig 1: OneLake for all Data One of the most exciting things in Fabric I […]
2023-07-26
5,308 reads
A data lake is a scalable data storage repository that can ingest large amounts of raw data and make it available on-demand. Robert Sheldon explains the benefits and challenges of data lakes.
2022-02-04
NoSQL databases, such as MongoDB, are an increasingly important component of enterprise data strategy, handling high-volume, scalable, and agile data management. As organizations adopt emerging NoSQL solutions, there is high demand to integrate these data sources with existing infrastructure and familiar tools. Standards-based data access facilitates your expansion into MongoDB by leveraging existing skills using […]
2021-11-29
512 reads
Why has Microsoft added new capabilities in SQL Server to connect to other types of data sources? Read on to learn more.
2021-05-14 (first published: 2019-09-09)
10,593 reads
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...
Hi all, I just started using VS Code to work with DB projects. 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
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