Data warehouses have been at the center of data analytics systems within many businesses and organizations for years, going as far back as the 1980s. With the growing adoption of cloud, data warehouse ...

Data mesh has emerged as a new paradigm for data management in recent years, allowing for inclusivity no matter the technology, should it be a data lake, data hub, data warehouse or Amazon Web ...

Every college and university has data storage needs, and student records are just the beginning. IT systems demand storage as well: Internet logs, security events, building systems, security cameras ...

In a previous article, I discussed redefining the challenge facing companies that want to become data-driven. The way most people think about this problem—and the most commonly proposed solution—is ...

The Michigan Association of Intermediate School Administrators (MAISA) is building a statewide, cloud-native data lake to provide educators and school districts with a single, secure environment that ...

“Enterprises need a data lake solution that consolidates large volumes of data from disparate sources," ESG analyst Jon Brown said. Cribl launched a new data lake as an alternative to traditional data ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

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 ...