Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...

Click through for five data warehouse design mistakes organizations should avoid, as identified by Himanshu Sareen, CEO of Icreon Tech. Data warehouse design is not a short-term investment and it’s ...

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 ...

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 ...

Palantir and Snowflake are data warehousing tools that offer unique methods of interacting with large, non-relational data sets. While Palantir uses private operating system models, Snowflake offers a ...

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 ...

I talk to a lot of different businesses about their data, and, without fail, some form of the same question always comes up: “What is the most common reason you see data warehouse projects failing?” ...