Online Analytical Processing, Optimization, Snapshot and Strategy

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. This is achieved by partitioning the data.

Data Warehouse

Data Warehouse Data Lake OLAP Cost-Benefit

Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber’s DNA as an analytics company At its core, Uber’s business model is deceptively simple: connect a customer at point A to their destination at point B. With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price.

OLAP

OLAP Data Lake Data-driven Snapshot

Data Leaders Brief

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

Unleashing the power of Presto: The Uber case study

Webinars

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