ETL (Extract Transform and Load)

External Article

How to get ETL Horribly Wrong

  • Article

ETL ( Extract, transform, load) doesn't have to be like a spell on hell. To make a success of ETL systems, you need the freedom and ability to make graceful U-turns when you detect a mistake in architecture or configuration: to fix the root problem rather than to merely tackle the symptoms. Feodor lists the eight most common root causes of failure in ETL systems, and how to fix them.

2015-01-30

13,243 reads

Blogs

Fabric as a Data Mesh Enabler: Rethinking Enterprise Data Distribution

By

For decades, enterprises have approached data management with the same mindset as someone stuffing...

Truncate Table Pitfalls

By

 Truncate Table Pitfalls Truncating a table can be gloriously fast—and spectacularly dangerous when used carelessly....

dataMinds Connect 2025 – Slides & Scripts

By

You can find all the session materials for the presentation “Indexing for Dummies” that...

Read the latest Blogs

Forums

Technological Dinosaurs or Social Dinosaurs?

By Grant Fritchey

Comments posted to this topic are about the item Technological Dinosaurs or Social Dinosaurs?

DBCC CHECKIDENT

By Steve Jones - SSC Editor

Comments posted to this topic are about the item DBCC CHECKIDENT

Distributed Availability Group Health: T-SQL and Zabbix

By Pablo Echeverria

Comments posted to this topic are about the item Distributed Availability Group Health: T-SQL...

Visit the forum

Question of the Day

DBCC CHECKIDENT

What is returned as a result set when I run this command without a new seed value?

See possible answers