Technical Considerations for Data Ingestion - Part 2
In part 2, we discuss the concepts of structure, tooling, and indexing for your data ingestion pipelines.
In part 2, we discuss the concepts of structure, tooling, and indexing for your data ingestion pipelines.
In this article, I want to talk about a topic that you may never need. The only time I have really had need to look at the bits in a byte pattern. In (what is now) ancient versions of SQL Server didn't have such self-describing columns like in its metadata objects like it does now.
If you're deploying SQL Server, you are likely running business-critical applications on it and you need to ensure it's protected from downtime and data loss.
In this article, you will learn how you can add the map and image visuals to your Power BI report and have them update as you select different data values.
Learn about how to implement a simple bucket sort algorithm using Python code to sort a list of array values.
When someone says, “Find all the rows that have been deleted,” it’s a lot easier when the table has an Id/Identity column. Let’s take the Stack Overflow Users table:
Steve comments on some programming languages and how we approach those we choose to use.
Git hooks are a useful way of triggering code quality scripts. The pre-commit tool provides us with a way of doing this and tapping into the huge library of scripts already in existence to ensure our code complies with general linting and formatting good practice.
In this article, we will review the benefits and drawbacks of using database partitioning (sharding) to help improve performance and maintenance tasks.
How can you achieve good enough without compromising the process/product? In the world of...
By Patrick
One of my customers recently wanted to rename each of the SQL audit files...
The post The pros and cons of self-service BI: What every industry leader should...
Comments posted to this topic are about the item What's New for the Microsoft...
Comments posted to this topic are about the item Using Outer Joins
I have this data in a SQL Server 2019 database:
Customer table CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 Devin 6 Sally OrderHeader table OrderID CustomerID OrderDate 1 1 2024-02-01 2 1 2024-03-01 3 3 2024-04-01 4 4 2024-05-01 6 4 2024-05-01 7 3 2024-06-07 8 2 2024-04-07I want a list of all customers and their order counts for a period of time, including zero orders. If I run this query, how many rows are returned?
SELECT c.CustomerName, COUNT(oh.OrderID) FROM dbo.Customer AS c LEFT JOIN dbo.OrderHeader AS oh ON oh.CustomerID = c.CustomerID WHERE oh.Orderdate > '2024/04/01' GROUP BY c.CustomerNameSee possible answers