Articles

SQLServerCentral Article

What is OneLake in Microsoft Fabric?

Get ready to be blown away! The highly anticipated Microsoft Build in May 2023 has finally unveiled its latest and greatest creation: the incredible Microsoft Fabric - an unparalleled Data Intelligence platform that is guaranteed to revolutionize the tech world! fig 1: OneLake for all Data One of the most exciting things in Fabric I […]

4.5 (4)

You rated this post out of 5. Change rating

2023-07-26

4,854 reads

External Article

GENERATE_SERIES: My new go-to to build sets

I have come across a lot of use cases for manufacturing rows on the fly, aside from the common goal of populating a large data set such as a numbers or calendar table. A few favorites include building sample data, pivoting an unknown number of columns, data extrapolation, and filling gaps in date or time ranges.

2023-07-26

Blogs

Implement a RAG Solution Using Azure SQL Database

By

AI and ChatGPT are all the rage these days.  Seems like around every corner...

2024 PASS Data Community Summit Prep

By

Next week is the 2024 PASS Data Community Summit in Seattle. I’ll be traveling...

A New Word: Bye-over

By

bye-over – n.  the sheepish casual vibe between two people who’ve shred an emotional...

Read the latest Blogs

Forums

PASS Summit Time

By Louis Davidson (@drsql)

Comments posted to this topic are about the item PASS Summit Time

database restore chain

By sqlfriend

I have a backup of full, differential and transaction log setup for our database....

Temporary Table Problem

By fk.da

Hello everyone, I hope you can help me. I have a table with measurement...

Visit the forum

Question of the Day

Incremental Statistics

I have run this on SQL Server 2022 for the Sales database:

ALTER DATABASE Sales SET AUTO_CREATE_STATISTICS ON (INCREMENTAL = ON)
I then run this in the Sales database:
USE Sales
GO
CREATE STATISTICS CustomerStats1 ON dbo.Customer (CustomerKey, EmailAddress) WITH INCREMENTAL = OFF
The dbo.Customer table is partitioned. How are statistics created?

See possible answers