Business Objectives, Machine Learning and Online Analytical Processing

Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

SEPTEMBER 4, 2020

Each data entity provides an abstract representation of business objects within the database, such as, customers, general ledger accounts, or purchase orders. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake

Data Lake OLAP Data Warehouse Unstructured Data

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

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. This service is the core of this reference architecture on AWS and can address most analytical needs out of the box.

Analytics

Analytics Data Warehouse Data Lake Metadata

Data Leaders Brief

Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

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

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