Extensions are a unique and powerful capability in PostgreSQL, a feature that other relational databases do not provide. Taking advantage of the extension framework in PostgreSQL is a true advantage to using the platform.
In this webinar, find out how PostgreSQL extensions can help you find solutions to some of your common problems.
Register now and to join on August 22nd
Steve has a few thoughts on a rant about Stack Overflow. An experienced developer thinks much of their information is wrong and things are getting worse.
This article discusses different approaches of Upserts (update+inserts) in Amazon Redshift
Preparations for Summit 2023 are fully underway! We thought what better way to introduce you to some of this year’s sponsors than sit down with them and find out what they have in store for you in November…
One of the more challenging technical details of columnstore indexes that regularly gets attention is the need for data to be ordered to allow for segment elimination. In a non-clustered columnstore index, data order is automatically applied based on the order of the underlying rowstore data. In a clustered columnstore index, though, data order is not enforced by any SQL Server process. This leaves managing data order to us, which may or may not be an easy task.
Secure your Sponsorship package before the rates go up. PASS Data Community Summit 2023 is where the database community meets every year to make life-long connections with peers, network with industry leaders, and advance their careers. With over 170 technical sessions, and a great line-up of sponsors, this is your time to secure your space before August 30 and get a preferred booth location.
Microsoft Fabric changes the paradigm for how you might store data in your warehouse.
The most common method on the internet for combining DATE and TIME columns in SQL Server is incorrect. This article demonstrates why that and other methods are incorrect and two lesser known high performance methods that produce correct results even for the "edge cases".
Are you looking to modernize and migrate your data but have questions about the complex organizational challenges? We recently hosted the webinar: Overcoming Organizational Challenges in Data Modernization and Cloud Migration: A Guide for Senior IT Leaders. This blog post summarizes the conversation into 7 key points.
This article employs Power Query features to combine queries and implement requirements in different listed scenarios.
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