AWS Big Data

OCTOBER 11, 2023

The lift and shift migration approach is limited in its ability to transform businesses because it relies on outdated, legacy technologies and architectures that limit flexibility and slow down productivity. This data contains metadata information like organization names for their respective organization IDs, agent names, and more.

Management 109

Management Metadata Analytics Dashboards 109

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. A very big mess since circa 2001, and now becoming quite a dangerous mess.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Along with your database servers, you had, data warehousing and business intelligence. I can point to the year 2001. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109