Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Past performance and current conditions are critically important; but without a view to the road ahead, business leaders risk being blindsided by unexpected developments.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

SEPTEMBER 4, 2020

Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

SEPTEMBER 25, 2023

Large, untested workloads run the risk of hogging all the resources. As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. In some cases, the queries run out of memory and do not complete.

OLAP 92

OLAP Data Lake Data-driven Snapshot 92