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. You can remove this filter in your test to view data for all regions.

Online Analytical Processing 98

Online Analytical Processing OLAP Slice and Dice Analytics 98

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. Business metrics – Providing KPIs, scorecards, and business-relevant benchmarks. Anomaly detection – Identifying outliers or unusual behavior patterns.

OLAP 110

OLAP Analytics Visualization Dashboards 110

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.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86