Data Lake, Data Warehouse, OLAP and Snapshot

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

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. These types of queries are suited for a data warehouse. Amazon Redshift is fully managed, scalable, cloud data warehouse. 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 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. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

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

Stay Connected