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 ...

With growing competition to get data that power experiences to end-user closer and closer and the advent of local data privacy laws, let's look at different enterprise data patterns.

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs.

The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that leverage big data to production.

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

This data design pattern, also known as 'multi-hop' architecture, logically organizes data in the lakehouse by creating three distinct layers, each improving data quality and structure.

Unisphere and DBTA, in partnership with Radiant Advisors, gathered real-world experts to discuss and evaluate popular data architecture plans in DBTA's recent webinar, 2023 Modern Data Architecture ...

New advancements in data management such as active metadata, data catalogs, and data observability are helping to close gaps in these areas. This is also why we continue to see an increase in the ...

In today's business world, while data professionals have access to advanced AI tools, they still remain heavily dependent on manual data analysis. Ada, the world's first AI data analyst, launches ...