Widespread New Technology Adoption
It can be hard to change peoples' habits and get them to adopt new technology.
It can be hard to change peoples' habits and get them to adopt new technology.
Learn how you can call stored procedures in the Django ORM, which lets you encapsulate more complex queries inside the database.
The core functionality of Apache Spark has support for structured streaming using either a batch or a continuous method. The two most popular sources of input data are data lake files and Kafka events. Check point files in the data lake are used to keep track of what data has been processed to date.
This article shows a solution to the challenge of multiple databases on one RDS instance with different databases and the limitation of 5000 connections.
The documentation cautions that cumulative updates (CU) could fail if a specific registry key isn’t updated after moving the master files, so I wanted to test this before I spent too much time configuring the server.
This guide will walk you through the process of deploy DACPAC to Azure SQL database directly from Visual Studio.
The ways in which you might try and reverse engineer a database design are on Steve's mind today.
In the December 2023 Microsoft Power BI Desktop release, more than 50 new INFO DAX functions were added. They all start with “INFO.” and return the same result as corresponding data management views (DMVs) that were available before only using a SQL-like syntax. With these new DAX functions, you can use the recently added DAX query to get metadata about your semantic mode
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers