Data Lake, Machine Learning, OLAP 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. To house our data, we need to define a data model.

Data Warehouse

Data Warehouse Data Lake OLAP Cost-Benefit

Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

MARCH 20, 2023

Other use cases – Additional use cases relating to aggregations and machine learning (ML) inference use cases such as authorization to operate, listing spam detection, and avoiding account takeovers (ATOs), among others. The data from the S3 data lake is used for batch processing and analytics through Amazon EMR and Amazon Redshift.

Analytics

Analytics Slice and Dice Data Processing Data Lake

Data Leaders Brief

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

Accelerating revenue growth with real-time analytics: Poshmark’s journey

Webinars

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