Combining Silver Tables into a Model – Data Engineering with Fabric
This next article in the series creates objects at the gold layer for consumption by combining tables from the silver layer of the lake house.
2024-05-15
3,590 reads
Articles
Building a Culture of Data: The Technical Aspects
In the first part of this two-part series, I covered the mostly non-technical aspects of building a data culture. While the lion’s share of the work will be getting people to work together and embrace ever deeper use of data, as a reader of Simple-Talk, a lot of this transition will be technical.
2024-05-15
Microsoft at the PASS Data Community Summit 2023
Microsoft will be presenting a number of sessions at the PASS Data Community Summit 2023. Read about their plans for the event and register to come if you can.
2024-05-14 (first published: 2023-11-03)
311 reads
Using Machine Learning Pipeline Execution Activity in Azure Data Factory
This article shows how one can run a machine learning activity in an Azure Data Factory (ADF) pipeline.
2024-05-13
1,127 reads
Read Data Stored in a Lake Database using Azure Synapse Analytics
In this article, we look at how to read data stored in a lake database using Azure Synapse Analytics to help reduce overall Azure costs.
2024-05-13
Identifying Customer Buying Pattern in Power BI - Part 2
In this article, we develop the Power BI DAX formula for basket analysis. It is the technique used in retail industry for market based analysis.
2024-05-10
1,907 reads
Database Subsetting and Data Extraction
Let’s start by defining a subset and why you would require a data subset? When dealing with the development, testing and releasing of new versions of an existing production database, developers like to use their existing production data.
2024-05-10
SQL Server Filtered Index Essentials Guide
Learn about using filtered indexes for SQL Server tables and some of the potential issues you might be faced with when using a filtered index.
2024-05-08
Ingest and Retrieve data from an ADX Cluster Using Python
Learn how to query data in Azure Data Explorer using Python.
2024-05-06
1,449 reads
Snake draft sorting in SQL Server, part 2
In my previous post, I showed how to borrow a snake draft concept from fantasy football, or a packing technique from the shipping industry, to distribute different portions of a workload to run in parallel.
2024-05-06
Blogs
Prime Day Recommendations
By Steve Jones
It’s Prime Day. A few of my recommendations, since I want to do some...
Fabric for Operational Reporting & SQL Endpoint Trap
With Fabric Mirroring, Microsoft is promoting a nice and appealing story for operational reporting...
Crawl, Walk, Run with Agentic Development of Power BI Assets
If you’ve been watching AI roll through the data community and thinking, “this seems...
Forums
SQL Art, Part 4: Happy 4th of July — A British DBA's Guide to Celebrating a War We Don't Talk About
Comments posted to this topic are about the item SQL Art, Part 4: Happy...
Concurrency and Baseline Control: Level 5 of the Stairway to Reliable Database Deployments
Comments posted to this topic are about the item Concurrency and Baseline Control: Level...
Spending Time in the Office
Comments posted to this topic are about the item Spending Time in the Office
Question of the Day
Multiple Values Inserted
I have this code on SQL Server 2022. What happens when it runs all at once?
DROP TABLE IF EXISTS dbo.Commission GO CREATE TABLE dbo.Commission (id INT NOT NULL IDENTITY(1,1) CONSTRAINT CommissionPK PRIMARY KEY , salesperson VARCHAR(20) , commission VARCHAR(20) ) GO INSERT dbo.Commission ( salesperson, commission) VALUES ( 'Brian', 12 ), ( 'Brian', 'None' ) GOSee possible answers