SQLServerCentral Article

Parallel Processing of Large Volume ETL Jobs

ETL processing, generally involves copying/moving, transforming, cleaning the records/transactions from one or multiple sources. Most of the batch processing or warehousing projects involve such data processing in millions on daily/weekly basis. Typically, there is a Staging area and production area. Records are cleaned, transformed, filtered and verified from staging to production area. This demands SQL Set theory based queries, parallel processing with multiple processors/CPU. The article focuses on need of SQL Set theory approach and parallel processing while processing large volume of ETL records using programming approach.

External Article

SQL Puzzle 7

After a gap of sixteen months, Lionel Clarke, the creator of the only 3-D maze game to be written in TSQL, returns with a new SQL puzzle. It is very simple. You have to move as much of the data as you can from the source tables to the destination tables.

Blogs

Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022

By

Reality (And Limits) of Instant File Initialization for Transaction Logs in SQL Server 2022 ...

Looking Back at the Redgate 2026 Company Kickoff

By

Last week I spent a few days in Cambridge, UK for the Redgate Company...

Using AI for Git Hooks

By

Recently I had someone internally ask about whether SQL Source Control supports Git Hooks....

Read the latest Blogs

Forums

SQL Agent job running gMSA cannot backup to NAS target

By DataMatt43

I'm running a group MSA for the database engine and SQL Agent in a...

sys.query_store_query question

By as_1234

All, My query is as follows: SET DATEFORMAT dmy SELECT p.query_id, DATEADD(MICROSECOND,-rs.max_duration,rs.first_execution_time) AS starttime,...

Encoding Strings

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Encoding Strings

Visit the forum

Question of the Day

Encoding Strings

I have this code in SQL Server 2025. What is the result?

DECLARE @message VARCHAR(50) = 'Hello SQL Server 2025!';
DECLARE @encoded VARCHAR(MAX);

SET @encoded = BASE64_ENCODE(@message);
SELECT @encoded AS EncodedResult;

See possible answers