The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population ...

The bottom-up method, on the other hand, starts with existing data sources and systems, concentrating on specific details and progressively developing into a complete data model. Aligning the choice ...

A data warehouse is traditionally the go-to architecture for structured data. It’s optimized for analytics and reporting, providing high performance and reliability. In contrast, data lakes are ...

The Case for Centralized Data Warehousing. Unlike data mesh, centralized data warehousing addresses silos head-on by consolidating data into a single repository. This creates a unified source of truth ...

The tools provide advanced data intelligence, data quality, and data modeling capabilities aimed at helping customers ensure the AI readiness of their data, the company said.