AWS Big Data

FEBRUARY 28, 2023

Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. It helps you see your mission-critical metrics at different aggregation levels in a single pane of glass. This will allow for a smoother migration of OLAP workloads, with minimal rewrites.

Online Analytical Processing 77

Online Analytical Processing OLAP Slice and Dice Analytics 77

IBM Big Data Hub

SEPTEMBER 25, 2023

If the exploratory work needs to move on to testing and production, they can plan appropriately. 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. This way, the queries run much faster.

OLAP 88

OLAP Data Lake Data-driven Snapshot 88

Smart Data Collective

APRIL 2, 2019

There were a handful of problems that bogged the system down and made it extremely difficult for data scientists to replicate their test bed results in a real-world environment. Data lakes were designed to be agile and provide analytics data on the fly while processing incoming data at a remarkable speed. Big Data is, well…big.

Data Lake 83

Data Lake Big Data OLAP Testing 83

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52