Upserts in Amazon Redshift
This article discusses different approaches of Upserts (update+inserts) in Amazon Redshift
2023-08-09
30,291 reads
This article discusses different approaches of Upserts (update+inserts) in Amazon Redshift
2023-08-09
30,291 reads
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…
2023-08-09
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.
2023-08-09
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.
2023-08-09
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".
2023-08-07
24,404 reads
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.
2023-08-07
This article employs Power Query features to combine queries and implement requirements in different listed scenarios.
2023-08-07
Learn how you can use AutomatedLab to quickly create new environments.
2023-08-04
2,842 reads
In the previous article in this series, I introduced you to how to access MySQL data from within a Python script. The article described how to use the MySQL Connector to establish a connection with a database and then retrieve data through that connection. In this article, I continue the discussion by demonstrating how to insert, update, and delete data in a MySQL database, again working with Python and the MySQL Connector.
2023-08-04
330 reads
Sometimes, we need to find the first or last n% records from a dataset based on a particular column. For instance, a teacher wants to know which students are in the bottom 25% based on marks. Hence, in such situations, the SQL NTILE() function helps. We will leverage this tip to get first or last n% records using NTILE() in SQL Server.
2023-08-04
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