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The Importance of Caching

Performance tuning and optimization definitely have their place in minimizing SQL Server Licensing costs – by helping keep CPU utilization low. But it’s important to remember that the fastest and most efficient query possible is the one that you never execute against your SQL Server. That might sound trite, but it’s at the heart of caching – which is key to helping organizations save significant money on SQL Server licensing costs while simultaneously enabling better application performance and increased scalability.

2015-02-23

8,605 reads

External Article

The Promise - and the Pitfalls - of In-Memory OLTP

When SQL Server 2014 was released, it included Hekaton, Microsoft’s much talked about memory-optimized engine that brings In-Memory OLTP into play. With memory-optimized tables 30 times faster than disk-based tables, higher performance is promised – but at what cost? Jonathan Watts looks at the features that have improved, and those that need careful consideration.

2015-02-20

10,562 reads

External Article

Application Containers For Cloud Computing

Containers promise to make applications more portable and efficient. The technology, originally based on Linux's cgroups, provides a way of running several applications as modular, platform-agnostic packages in isolation on the same server. Docker's open-source approach to containers has dominated the market, and Microsoft is producing its own equivalent Windows system. What next? Will Containers replace VMS? Robert Sheldon investigates.

2015-02-18

8,746 reads

External Article

Managing Test Data as a Database CI Component - Part 1

Constructing a test environment for your databases can be a difficult task at the best of times. Once you’ve actually acquired the hardware needed and architected the environment, you still have to arrange and securely transport the data. And with the rising demand for fast feedback and continuously integrated processes, having all of this automated and operating at speed is a challenge all of its own.

2015-02-16

7,538 reads

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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