Data Lake, Interactive, OLAP and Structured Data

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

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics

Analytics Data Warehouse Data Lake Metadata

Data Leaders Brief

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

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

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