External Article

Scala and Apache Spark in Tandem as a Next-Generation ETL Framework

Scala and Apache Spark might seem an unlikely medium for implementing an ETL process, but there are reasons for considering it as an alternative. After all, many Big Data solutions are ideally suited to the preparation of data for input into a relational database, and Scala is a well thought-out and expressive language. Krzysztof Stanaszek describes some of the advantages and disadvantages of a scala-based approach to implementing and testing an ETL solution.

Blogs

5 Starter Projects for Your AI and Data Engineering Portfolio

By

Reading tutorials is fine. Shipping something is better. If you are trying to break...

The Book of Redgate: Taking Breaks

By

We work hard at Redgate, though with a good work-life balance. One interesting observation...

Database AI Agents: The Read-Only Rule

By

Fourth in a series on Ai and databases. What Read-Only Advisory Actually Means A...

Read the latest Blogs

Forums

Liability for AI Errors

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Liability for AI Errors

Running a Parameter-Sensitive Stored Procedure on a Secondary Replica

By abdalah.mehdoini

Hello , I would like to run a stored procedure on a secondary replica...

Pro SQL Server Internals

By Site Owners

Comments posted to this topic are about the item Pro SQL Server Internals

Visit the forum

Question of the Day

Running SQLCMD II

I run this command to start SQLCMD:

sqlcmd -S localhost -E -c "proceed"
At the prompt, I type this (the 1> and 2> are prompts):
1> select @@version
2> go
What happens?

See possible answers