Business Objectives, Online Analytical Processing and Risk

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

Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

AUGUST 1, 2024

Additionally, organizations must carefully consider factors such as cost implications, security and compliance requirements, change management processes, and the potential disruption to existing business operations during the migration. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse

Data Warehouse KPI Optimization Cost-Benefit

Data Leaders Brief

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

Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

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