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Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. OLAP combines data from various data sources and aggregates and groups them as business terms and KPIs. Anomaly detection – Identifying outliers or unusual behavior patterns.
Thanks to The OLAP Report for lots of great market materials. Comshare, Pilot, Metaphor, watch out here comes some more: OLAP, ROLAP, HOLAP, MOLAP now my head hurts. OLAP for the masses, gents? OLAP Services, TM1, Pablo, Wired, and Crystal fun. Balanced scorecards, GIS, analytic apps, extranets.
Using OBIEE as Discoverer’s replacement is intended to help unlock the power of your information with robust reporting, ad hoc query and analysis, OLAP, dashboard, and scorecard functionality that offers the end user an experience that comes with visualization, collaboration, alert capabilities, and more. But does OBIEE stack up?
Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query.
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