IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. These requirements include fluency in: Analytical models.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. In our modern data and analytics strategy and operating model, a PM methodology plays a key enabling role in delivering solutions. where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52