Document, Metadata, Metrics and Online Analytical Processing

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

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Refer to the respective service documentation for further details.

Analytics

Analytics Data Warehouse Data Lake Metadata

How to Build a Performant Data Warehouse in Redshift

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). Think of it like something that houses the metrics used to power daily, weekly, or monthly business KPIs. OLTP vs OLAP. roll-ups of many rows of data). Sort & Dist Keys.

Data Warehouse

Data Warehouse OLAP Statistics Cost-Benefit

Data Leaders Brief

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

How to Build a Performant Data Warehouse in Redshift

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