The Value of Data
Data can be valuable, and there's a new book that compares the value of data today to that of oil in the previous century. Steve Jones has a few thoughts on why we should consider this to be the case.
Data can be valuable, and there's a new book that compares the value of data today to that of oil in the previous century. Steve Jones has a few thoughts on why we should consider this to be the case.
In part 1, we described the requirements for calculating attrition and also demonstrated one method that doesn’t rely on writing DAX code at all. In the second part of this tip, we introduce alternative methods of creating a calculation in DAX to calculate the number of employees that have left the company.
Covering indexes help UPDATE performance also
Does the tone of communication matters to you that much that it affects your work in some way?
In many businesses, the HR department needs reports on the employee attrition. This is the number of people that leave the company (depending on the reason they leave; the terminology can also be dismissals or turnover). Suppose you have a table with your employee data, where you also store a possible termination date. How do you calculate the number of people who have left the company using the DAX query language?
A tip to auto detect data types for flat file sources in SSIS. Never manually enter them ever again!
Disappointment is hard, but you get to choose how you react to it.
The Graph Database feature, new with SQL Server 2017, can be used to represent hierarchies. In this article of the series, Robert Sheldon demonstrates how to represent hierarchies in data with complex relationships.
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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