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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

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 ...

Business software giant SAP SE said it’s aiming to help enterprises eliminate the complexities of accessing and using data scattered across disparate systems and locations with today’s launch of its ...

Part 4 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the data warehouse technology and service space. In-House Analytics While some promote data lakes as the ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Azure Synapse Analytics is the result of a lot of work, and a little trial and error. At first, Ramakrishnan said, the team developed high–level guidelines showing ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...