Extraction Transformation Load (ETL) is the backbone for any data warehouse. In the data warehouse world data is managed by the ETL process, which consists of three processes, Extraction-Pull/Acquire data from sources, Transformation-change data in the required format and Load-push data to the destination generally into a data warehouse or a data mart.
Another company has hard-coded credentials, which Steve feels are a sign of bad culture.
Businesses worldwide now operate on a team basis, and a high-performing team is crucial for high-performing organizations. Winning teams are more focused and better than regular teams. They focus on synergies and achieving significant results. They are an extension of regular teams with a higher sense of commitment to objectives and mutual purpose. Winning teams have a clear mission and achievable performance goals for each member, aiming for extraordinary goals. They are more committed to the vision and have a passion for achieving the mission. Winning teams work collaboratively to discover new work approaches, principles, and practices, focusing on decision-making, creative problem-solving, industry standards, and effective communication. They establish processes from beginning to end to complete tasks effectively. The difference between winning team and a regular team is very clear. However, what makes a winning team a champion team. This paper aims to provide valuable insights into the differentiating factors of a champion team from a winning one.
There’s been a lot of talk about GitHub Copilot recently, loudly touted as Your AI pair programmer. According to GitHub, Copilot for Business brings the power of generative AI to engineering teams, accelerating the speed of software development and innovation.
Learn about how SQL Server uses locks when modifying data and how data is committed to a database after data changes.
I can't hide this in any way. I love it when I accomplish something. It's such a great feeling. Even more than that, I really do love getting some acknowledgement for it. Almost as good, is when I see others, especially friends and acquaintances, doing well. So many people I know, regularly just knock it […]
A busy year got a little too busy for Steve and he is taking steps to improve his work life balance.
Learn how to use CTEs through the use of a number of examples.
Learn about the different tables that can be created using Azure Databricks with a dive deep into the importance of Delta Lake tables.
The 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.
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
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