The Counter Offer - Part 1
Today we have a guest editorial from Andy Warren that looks at the challenge of getting a counter offer from your employer.
Today we have a guest editorial from Andy Warren that looks at the challenge of getting a counter offer from your employer.
Learn how to force all SQL Server connections to an AWS RDS instance to use SSL encrypted connections.
In this blog, we review the key insights from last year’s State of SQL Server Monitoring report. One year on, how has this changed? Read the blog to find out how you can help us define the state of 2019 plus a chance to win a $250 Amazon voucher.
Today Steve has an announcement about his role in moving Books Online forward.
SQL Server 2019 will bring more than graph query languages. We will be able to use a document query engine and a specific JSON engine.
Temporal tables were introduced with SQL Server 2016. To take advantage of this feature, you might start fresh with a brand new table. It is possible, however, to convert an existing table with accumulated history to the new functionality. In this article, Mala Mahadevan explains how to create temporal tables for both scenarios.
Last week was the MVP Summit. This year included a bunch of very technical discussions about some of the future of the Microsoft Data Platform (a big thank you goes to Slava Oks, Bob Ward, and all the team for a great job). I can’t share much since it was all under NDA. All I […]
Indexes are the database objects that enable SQL Server to satisfy each data access request from a client application with the minimum amount of effort, resulting in the maximum performance of individual requests while also reducing the impact of one request upon another. Prerequisites: Familiarity with the following relational database concepts: Table, row, primary key, foreign key
Now that we've seen the basics of indexing, and taken a deeper dive into Nonclustered Indexes, this Level will focus on searching the table, which will, in turn, will lead us to a discussion of clustered indexes.
Internal and external fragmentation – Causes, cures, and when not to care
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...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
We need to replace our Windows server running SQL 2017. Any reason not to...
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