The Redgate 100: Top Influencers List
We're recognizing the individuals in the database community for their work, online influence and thought leadership in our inaugural list of influencers: The Redgate 100.
2022-09-30
Articles
Easy and Cost Effective way to Encrypt Every SQL Server Database
Learn why Becton Dickinson has selected DBDefence to protect their SQL Server data across numerous medical devices in a cost effective manner.
2022-09-28
Redgate Summit: The Database DevOps Transformation
Digital transformation and data modernization are frequently cited as high-value strategic projects that are crucial to achieving competitive advantage. At the same time, delivery of code in agile and predictable ways has led to many businesses adopting DevOps practices. Throughout this event we will explore how Database DevOps can be the function that accelerates transformation projects.
Join us On October 6th as we invite experts to share their insider tips and tricks.
2022-09-28
How to Visualize Python Charts in Power BI Part 4
In this fourth part of the series, we look at various other plot types in Power BI using Python.
2022-09-26
1,510 reads
[Video] Fragmentation Explained in 20 Minutes at SQLBits
What does fragmentation mean? How does it happen? Can you fix it with fill factor? Should you rebuild your indexes to fix it?
2022-09-26
Time to register for PASS Data Community Summit
The schedule at a glance is now available. Get ready for a week of learning and connecting at the data community homecoming. LAST chance to benefit from Late Bird prices for online and in-person passes.
2022-09-26
PostgreSQL Triggers Part 2
Article Overview In this article, we will learn how to drop, alter, enable, and disable a PostgreSQL trigger. In the 1st part of this series, we got an overall view of database triggers, PostgreSQL-specific triggers, types of PostgreSQL triggers, and how to create a trigger with basic syntax and examples. If you haven't read it […]
2022-09-23
1,577 reads
Optimize Large SQL Server Insert, Update and Delete Processes by Using Batches
In this tip we look at the impact of running SQL Server processes in smaller batches instead of one large operation.
2022-09-23
Query processing architecture guide
he SQL Server Database Engine processes queries on various data storage architectures such as local tables, partitioned tables, and tables distributed across multiple servers. The following sections cover how SQL Server processes queries and optimizes query reuse through execution plan caching.
2022-09-23
Data Governance: Joining the Dots
Every organization must perform data governance. This requires planning, oversight, and control over the management, security, resilience and quality of data and over the use of data by the organization. In larger organizations, it can be a complex task. William Brewer explains what's involved.
2022-09-21
Blogs
Optimising Costs: Strategies for Efficient Cloud Resource Management
By HeyMo0sh
Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
Cost Visibility: Tracking and Analysing Your Cloud Spend
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
Whiling away an afternoon, thinking
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
Forums
Fun with JSON II
Comments posted to this topic are about the item Fun with JSON II
Changing Data Types
Comments posted to this topic are about the item Changing Data Types
Answering Questions On Dropped Columns
Comments posted to this topic are about the item Answering Questions On Dropped Columns
Question of the Day
Fun with JSON II
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