Takeaways from Data Grillen 2024
Two days of Data, Beer and Bratwurst. What did it bring me, find out by reading this photo-rich article.
The Costs and Rewards of Speaking
Steve has had a good time sharing knowledge with others at events. He gives you a few thoughts on why you might join him at a future event.
How to Build Metadata Driven Pipelines in Microsoft Fabric
Over the past years, “traditional” ETL development has morphed into data engineering, which has a more disciplined software engineering approach. One of the benefits of having a more code-based approach in data pipelines is that it has become easier to build metadata driven pipelines.
Empowering Lakehouse Users – Data Engineering with Fabric
Learn how to use the OneLake Explorer and Data Wrangler extension in VS Code to empower users to work with data in Microsoft Fabric.
Invisible Downtime
Steve has a few thoughts on invisible downtime, a term he had never heard until recently.
Troubleshoot SQL Server Always On Availability Groups with SQL LogScout
We experienced several unplanned outages and failovers on our SQL Server Always On Availability Groups. We want to know the root cause to prevent them from happening in the future. How do we identify the root causes of unplanned Availability Group outages and failovers?
How Big Data Supports Gen AI
This article includes an overview of how big data and Artificial Intelligence (AI) models work together.
Kubernetes is Cool, But ...
Steve has a few thoughts on Kubernetes and how much data professionals should care about the technology.
Recursive CTEs: Transforming and Analyzing Data in PostgreSQL, Part 3
The first two articles in this series demonstrated how PostgreSQL is a capable tool for ELT – taking raw input and transforming it into usable data for querying and analyzing. We used sample data from the Advent of Code 2023 to demonstrate some of the ELT techniques in PostgreSQL.
Realities of Predictive Analysis
Or for short, “Why you have to play the game” “Don't tell me the odds”, cried out Han Solo just before doing something that seemed impossible. How on Coruscant did he do that? Well, as a certain director said about a certain floating door in a galaxy we all call home. ”It was in the […]
Blogs
How I Built RAG for My Accounting App on Bedrock and pgvector
The first version of my accounting assistant could not find a single purchase of...
Why AI isn’t paying off yet, and what to invest in first
Why isn’t AI paying off yet? Drawing on lessons from digital transformation, Joyful Craftsmen...
Flyway Tips: Analytics Platforms (Snowflake and Databricks)
By Steve Jones
I’m really excited about some growth in Flyway support. I’ve been asking about this...
Forums
Pay for Performance
Comments posted to this topic are about the item Pay for Performance, which is...
Slow - Linked server query
Hi I have this slow query that is pulling data from a linked server....
Too Many Choices
Comments posted to this topic are about the item Too Many Choices
Question of the Day
Too Many Choices
I have a table, dbo.MasterBrands, with this data:
BrandID OfficialName 1 Samsung 2 Apple 3 Microsoft 4 Adidas 5 Coca-ColaI run this query. What is returned for Coca-Cola?
SELECT CHOOSE(BrandID, 'Conglomerate', 'Tech and Design', 'Desktop', 'Apparel') FROM dbo.MasterBrands;See possible answers