Establishing a data lake where source data will land and a sandbox for business users to experiment with the data, can minimize complexity and reduce costs.
In this Knowledge Sharing article, Julio Pereira, Ricardo Sugawara, and Juliano Carniel discuss concerns around Extract, Transform, Load (ETL) for data transformation software vendors to address and provide insight into the alternatives to ETL today.
Tried to view full article, but it seems link is broken – anything I can help, please let me know.
Advisory Consultant | Application and Big Data
Dell EMC Services
Hi Julio, I checked the link and I was able to download the pdf without error. Can you please try again? One thing that may help is clearing your browser's cookies.