Data Lake Implementation – Data Lake Zones and Containers Planning
The Azure Data Lake is a massively scalable and secure data storage for high-performance analytics workloads. We can create three storage accounts within a single resource group.
Are We Dinosaurs?
Let's talk about the elephant in the room right up front. Yes, I'm old. I remember when Buck Woody was a little tyke on the day the last of the Tyranosaurs died (I'm older than Buck). So, I'm not asking if I'm old. Yes. I'm old. No, I'm asking if that massive meteor strike over […]
Outer Join – What am I missing (SQL Spackle)
This article shows how to find missing rows in a table using a outer join.
Uncover SQL Server Missing Indexes
In this article, we look at a SQL Server Dynamic Management View (DMV) that helps find queries that trigger missing index recommendations.
AWS Services Using SQL for Big Data Analysis
AWS offers a robust suite of tools designed to manage big data effectively. This article explores focusses on how SQL is leveraged within Amazon Redshift and Amazon Athena. We will delve into the technical features, practical applications, and step-by-step examples for using these services, highlighting how they can transform raw data into actionable insights for your business.
The Modern Algorithm of Chance
Algorithms rule the world and Steve talks about the impact those have on the world.
Use Logic Apps To Save Money In Azure: Data Engineering in Fabric
This next article looks at how a Logic App in Azure can start and stop various database services and save money.
Enhancing SQL Server Searches with Elasticsearch and Python
Learn how to get started with Elasticsearch with data in your SQL Server database.
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
Question of the Day
Using OPENJSON
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