Press Release


External Article

Kickstart the year with our free Livestream! Navigating the database landscape in 2024

The key finding from our annual ‘State Of’ survey is that there’s a need for skill diversification to keep up with the pace of technological advances in IT world.

How will this skills gap affect you?

Whether you’re just starting out in your career, you’re a seasoned data professional or you’re a senior IT leader wanting to stay ahead of business growth, join our free livestream on January 23rd.

Redgaters Steve Jones, Ryan Booz and Beca Parker will introduce key findings from the survey and offer their thoughts on the big changes coming in 2024 and what you can do to thrive in this changing landscape.

Register now

2024-01-03

Technical Article

Webinar: The Impact of the Cloud on Databases

The PASS Data Community Summit is back in Seattle this November, with hundreds of speakers covering a wide variety of database topics, including cloud computing. We feature two of those speakers in this webinar: Bob Ward of Microsoft and Steve Jones of Redgate.

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2023-09-15 (first published: )

Technical Article

You are cordially invited to attend 2021 Virtual Data.SQL.Saturday.LA event!

We are reaching out to all people that enjoyed SQL Saturday in LA 2017, 2018, 2019, and 2020 events to let you know that the 2021 event is fast approaching. Only 30+ days remain until the June 12 Virtual Data.SQL.Saturday.LA event. Please register soon to reserve your spot by using http://2021sqlsatla.eventbrite.com/ hyperlink, register using a form below or just use a QR code.

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2021-05-26 (first published: )

sql-server-in-memory-oltp book cover

Free eBook: SQL Server Internals: In-Memory OLTP

In this free eBook, Kalen Delaney explains how Microsoft's 2016 In-memory OLTP engine works. In her book, learn how to use lock- and latch-free data structures to allow non-blocking data processing, and find out how to migrate existing tables to Hekaton.

2020-12-30 (first published: )

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Question of the Day

Crazy Code I

I have this data in my Customer table:

CustomerID CustomerName
1          Steve
2          Andy
3          Brian
4          Allen
5          Devin
I run this code:
SELECT
  t.CustomerID
, c.value
FROM
  ( SELECT
      CustomerID
    , STRING_AGG (CustomerName, ',') AS me
    FROM customer
    GROUP BY CustomerID) t
  CROSS APPLY STRING_SPLIT(me, ',') c;
What is returned?

See possible answers