Data warehouses and data lakes both offer more flexible, scalable, and agile methods for storing data from multiple sources and in various structures. Unlike traditional databases, these advanced ...

Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables ...

AI is only as secure as the data that powers it. As teams build AI agents and apps on Snowflake, every repo, wiki, and ...

While an increasing number of companies are adopting Snowflake as their cloud data platform, the shortage of engineers ...

Explore how large enterprises build scalable data platforms using lakehouses, batch and streaming pipelines, data mesh, ...

AI data preparation is the unglamorous half of working with data: cleaning, joining, and reshaping raw tables while an AI ...

The world’s most profitable business intelligence (BI) company is strategically shifting its core focus away from the ...

J.P. Morgan boosts confidence in Snowflake (SNOW) growth as partners cite faster Redshift migrations and strong pipelines; ...

At Rising this week, Workday Data Cloud opened the System of Record directly to AI agents, with no extracts, no duplicate ...

A more powerful AI model isn’t necessarily the answer to unreliable business analytics. New research from AtScale found that leading AI models answered fewer than 40% of business questions correctly ...

Sridhar Ramaswamy, CEO of Snowflake, joins CNBC's 'Halftime Report' to discuss the future of AI and what it means for the ...

Benchling today announced Direct Data Share, a new capability integrated with Snowflake, the AI Data Cloud company. Direct Data Share keeps scientific data continuously connected between Benchling and ...