Data warehousing solutions enable users to process their organizational data and gain more insights from their data analysis. But with so many different types and vendors of data solutions on the ...

The software giant also unveiled strategic alliances with Collibra, Confluence, Databricks and DataRobot designed to help customers develop a business data fabric architecture that incorporates data ...

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, ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

Since its founding 13 years ago as an online shoe seller, Zalando SE has grown to become one of the largest e-commerce fashion retailers in Europe. Given its roots on the web, it’s not surprising that ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Since the 1990s, organisations have gathered, processed and analysed business information in data warehouses. The term “data warehouse” was introduced to the IT mainstream by American computer ...