Category: Type

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…

What if you could combine data warehouse design and development in a seamless, automated process that took you from basic reporting to advanced high level analytics in just weeks? Well, get data modeling process right, and you can build a…

Whether you are working in marketing, finance, or operations, you must have heard a lot about API integration platforms in the last couple of years, and how important they are for different organizations. To ensure a smooth flow of information…

The online retail giant, Amazon generated $386 billion in net sales in the year 2020. When most companies were struggling to survive amidst the pandemic, how did Amazon manage to beat the odds? The secret behind its success is DATA! If Amazon is ruling the e-commerce industry today, it…