An open data architecture eliminates silos and allows data teams to collaborate on the same data, deliver data reliability and easily manage data. This kind of architecture is beneficial for ...

So, in the big data space, a converged architecture will in effect productize Hadoop by using the raw open source components, adding what’s missing, and then productizing the integration to ...

Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...

As long as big data and cloud computing have been in play, data engineering has often faced the challenge of lock-in with costly, complex legacy systems.

Edge databases can empower edge data to bring computing and data storage close to data sources, toward sustainability and reduced waste.

Advancing data architecture for generative AI - SiliconANGLEGenerative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in ...

Dr. Prakriteswar Santikary, chief data officer at ERT, spoke at Data Architecture Summit 2018 Conference last month about data lake architecture his team developed at their clinical research ...

The emerging data mesh architecture has the potential to keep AI and analytics projects moving forward even as data storage and processing continues to disperse far and wide. One independent backer of ...

Data architecture and cyber security strategy cannot operate in isolation – neither one is effective if it is applied after the other.

Few companies have dedicated data architects, but every company wants one. How can you better organize your data with limited resources?