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Face to Face

The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.

Technical Article

Face to Face

The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.

Technical Article

Face to Face

The cost of fuel is rising, telecommuting is becoming more widespread, and the advance of digital technologies has us often working virtually, even in the same office. Steve Jones thinks we shouldn't forget the value of a little face time and and then.

Technical Article

Build a Metadata-Driven ETL Platform by Extending Microsoft SQL Server Integration Services

SQL Server 2008 Integration Services (SSIS) provides a flexible and scalable architecture that enables high-performance data extract, transform, and load (ETL). The Microsoft Business Intelligence Center of Excellence has extended SSIS to a metadata-driven platform to more effectively build, deploy, and manage ETL processes in large data warehousing environments.

Technical Article

Data Warehouse Capacity Planning as Capacity Enforcement

Capacity planning is a problem for a data warehouse because it sets contrasting functional requirements against each other. On one hand, data warehouse customers consume data warehouse capacity as they query the data in the data warehouse business intelligence (BI) reporting. Meanwhile, applications consume data warehouse capacity as they load data into a data warehouse through the extract, transform and load (ETL) process.

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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