Chaos Engineering in Azure
Chaos engineering is all about breaking your application. Let us see what it is all about and how easy it is in Azure.
2022-02-25
7,580 reads
Azure
Backup Architecture
Continuous backup in Cosmos DB doesn't quite work as Steve would expect. He has a few comments on why it is important you know how your backup and restore system works.
2022-02-21
444 reads
Disaster Recovery in Another Region
Years ago I worked at a large company, and we purchased a SAN appliance to consolidate our storage. This was at a time when the majority of our servers used locally attached storage. This was a big purchase, and we knew that we had to plan for issues. So, we actually purchased two appliances and […]
2022-02-19
60 reads
Azure Policies and Management Groups
You can define policies for your Azure SQL Databases for security and meeting your organization’s standards. Management groups simplify policies over multiple subscriptions. Michael Wood explains Azure Policies and Management Groups.
2022-01-07
Adding Users to Azure SQL Databases
Learn about the options to add users to Azure SQL Databases including SQL authentication logins, contained SQL users, contained Azure Active Directory users, mapped logins to users - including code examples you can copy and use immediately.
2022-01-03
Raw Data Ingestion into Delta Lake Bronze tables using Azure Synapse Mapping Data Flow
In this article we look at how ingestion will read data from the landing zone and push data into the Bronze layer of the Delta Lake tables for Azure Synapse Analytics.
2021-12-13
Performance of querying blob storage with SQL
It’s possible to query blob storage using SQL, but what about performance? In this article, Dennes Torres compares several query methods to see which one performs the best.
2021-11-12
Cosmos DB Data Migration Between Containers using Databricks and PySpark
In this article learn how to use PySpark scripts in Azure Databricks service to copy data between Cosmos DB containers.
2021-11-05
Azure Cosmos DB – HTAP using Azure Synapse Link
In this article, we will explore the HTAP capabilities of Cosmos DB. The goal is to derive real-time insights from transactional changes made to Cosmos DB, in a cost-effective manner with minimal overhead. I want the solution to be scalable, reliable and overall simple to maintain.
2021-11-03
2,248 reads
Databricks Delta Change Data Feed
In this article we cover how to implement a batch Databricks Change Data Feed process through an end-to-end exercise.
2021-10-08
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...
Using OPENJSON
Comments posted to this topic are about the item Using OPENJSON
Data Modeling with dbt for Visual Code: The Fabric Modern Data Platform
Comments posted to this topic are about the item Data Modeling with dbt for...
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