Interactive, Online Analytical Processing 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. Unlike the old connector, the new version uses a snapshot of the DynamoDB table and doesn’t consume read capacity units of your source DynamoDB table.

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

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. It excels in scalability and supports a wide range of analytical use cases. What is Presto?

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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