Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. 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 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” A few decades ago, technology professionals developed methods for collecting, aggregating, and staging their most important information into data warehouses.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

AWS Big Data

AUGUST 1, 2024

About the authors Chanpreet Singh is a Senior Lead Consultant at AWS, specializing in Data Analytics and AI/ML. The data warehouse is highly business critical with minimal allowable downtime. We hope this post provides you with valuable guidance. We welcome any thoughts or questions in the comments section.

Data Warehouse 105

Data Warehouse KPI Optimization Cost-Benefit 105