Bringing SQL Server Data Quality Tools to Your Company
Learn how and why you should be using Melissa's data quality components that fully integrate into SSIS packages to fix data problems and save your company money.
2022-10-26
Data Quality Services (DQS)
Melissa Data Quality Solutions for SSIS
For organizations relying on the SQL Server, Melissa's solutions directly integrate with SSIS, so the learning curve is minimal. You can drag and drop Melissa components in SSIS to validate, cleanse, append and enhance data.
2021-02-09
Email Validation Simplified with Web API and SSIS
Email based validation is more than just a simple RFC check, this is where Melissa's Global Email Verification with a web-based API and SSIS delivers valuable data to SQL Server Professionals.
2020-12-14
2015-09-11
1,530 reads
2014-02-28
1,534 reads
SQL Server 2012: Installing Data Quality Services
Greg Larsen shows you how to install Data Quality Services and the companion client tool called Data Quality Client for SQL Server 2012.
2012-11-07
2,181 reads
Data Quality Services Performance Best Practices Guide
This guide details high-level performance numbers expected and a set of best practices on getting optimal performance when using Data Quality Services (DQS) in SQL Server 2012 with Cumulative Update 1.
2012-10-05
1,697 reads
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