TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

The Good, the Bad, and the Ugly of Extract Transform Load (ETL)

January 1, 2018

Avoid the unnecessary parts of ETL to maintain data integrity and achieve faster time to value for your analytics initiatives.

Considered a necessary evil until recently, data warehouses and their corresponding ETL processes used to be the only way to efficiently aggregate and analyze large volumes of complex data coming from different data sources. But now there’s a way to eliminate the most painful part of the data warehouse project: preparing and managing data for analysis by flattening, pre-joining, and “re-shaping” data into a workable format. What we at Incorta like to call the “unnecessary parts of ETL.”

Read this e-book to learn:

• the good, the bad, and the ugly sides of ETL,
• the risks that downsides pose to your business, and
• how Incorta can help you overcome ETL’s limitations while continuing to benefit from the advantages it provides.
  
  

Sponsored By Incorta