Discover how WWT and Databricks helped a global relocation services provider turn siloed data into a scalable, insight-driven lakehouse.

Data quality is an important aspect that must be considered to obtain reliable and useful data from data warehouses. This paper presents an automated system using ensemble-based outlier detection ...

The Top 25 Firm plans to launch a data warehouse service for smaller organizations this year and has been using AI to develop some of its rollout strategies.

This repo provides a step-by-step approach to building a modern data warehouse using PostgreSQL. It covers the ETL (Extract, Transform, Load) process, data modeling, exploratory data analysis (EDA), ...