Data Lake, Online Analytical Processing and Snapshot

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.

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 understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. For traditional analytics, they are bringing data discipline to their use of Presto. It lands as raw data in HDFS.

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

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