Octopai

JANUARY 21, 2020

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. It’s a snapshot of data at a specific point in time, at the end of a day, week, month or year. Saving time and headaches with online analytical processing tool.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

IBM Big Data Hub

SEPTEMBER 25, 2023

Large, untested workloads run the risk of hogging all the resources. For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems. In some cases, the queries run out of memory and do not complete. It lands as raw data in HDFS.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

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.” Such BI methodologies are built on a snapshot of what happened in the past. Businesses can no longer afford to be fixated on the rear-view mirror.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

AWS Big Data

AUGUST 1, 2024

Additionally, organizations must carefully consider factors such as cost implications, security and compliance requirements, change management processes, and the potential disruption to existing business operations during the migration. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114