AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Consumption This pillar consists of various consumption channels for enterprise analytical needs. You can collect metrics and events and analyze them for operational efficiency.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Sisense

FEBRUARY 16, 2021

The data model facilitates interaction among these groups by reformatting and restructuring data in order to define the relationship among datasets. . Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

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. Archiving the files provides a backup option in the event of disaster recovery. These types of queries are suited for a data warehouse. In the Athena query editor, choose the raw database.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80