Last Week Reading (2019-04-28)

Last Week Reading (2019-04-28)

An unusual week has passed. SQL Server’s 30th birthday – learn a bit about history. Future? Here you are! .NET enters under Spark’s thatch, and more…

Press

Happy 30th Birthday Microsoft SQL Server
Have you seen the Bill Gates and Edward M. Esbar Jr. video promoting SQL Server 1.0?

.NET for Apache Spark
Yes, you have heard very well, …

Introducing .NET for Apache® Spark™ Preview
… and here you have more details.

Removing multiple patterns from a string
Hugo Kornelis (T) explains step by step how he has built it in pure T-SQL.

Grouped Aggregate Pushdown
Quite deep and interesting article about factors that affect aggregate pushdown for GROUP BY queries only.

ASF 021: Guy in a Cube interview (part 1)
Yoooo! The new episode went off. This time, along with Prathy, we’re interviewing Adam and Patrick.

A word from Microsoft’s CEO

Video: Code-free modern data warehouse…

Smile Corner

 

Previous ASF 021: Guy in a Cube interview (part 1)
Next Last Week Reading (2019-05-05)

About author

Kamil Nowinski
Kamil Nowinski 177 posts

Blogger, speaker. Data Platform MVP, MCSE. Senior Data Engineer & data geek. Member of Data Community Poland, co-organizer of SQLDay, Happy husband & father.

View all posts by this author →

You might also like

Last Week Reading 0 Comments

Last week reading (2018-01-07)

Thanks for visiting the page. Hope you will find some time to read great articles I have found for you. Here you are – this week readings. Start reading on Monday morning

Last Week Reading (2020-07-12)

Press Azure resource providers operations List of all of the available ADF-specific RBAC permissions. Simplifying declarative deployments in Azure The power of What-If within ARM Template deployments. Collecting custom parameters/variables

Last Week Reading 0 Comments

Last week reading (2018-09-09)

Automatic intelligent insights to optimize performance with SQL Data Warehouse With no additional costs, Azure SQL DW delivers you best practice recommendations in terms of data skew and suboptimal table

0 Comments

No Comments Yet!

You can be first to comment this post!

Leave a Reply