Reduces Data Extraction and Loading Time to Automate their Data Warehouse Pipelines

Effective data warehousing requires a network of well-maintained data pipelines to deliver high-quality , real time data for reporting and advanced analytics. But manual ETL processes do not provide the scalability, agility, and speed required to keep up with modern…

Data warehouses are well-knitted information powerhouses that store terabytes

What does it take to ensure the quality and robustness of your data warehouse implementation? An in-depth data model verification system that allows you to thoroughly check your source and destination models and help fix them before they are ever deployed. Because if your data warehouse schema is accurate, the subsequent data loading and reporting processes will automatically be streamlined and error-free.

Dimensional data modeling has been the foundation of effective data warehouse design for decades. Kimball’s methodology promises optimized query performance and a streamlined structure that’s easily understood by stakeholders at every level of the enterprise. Read on to find out…