The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools.
Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...
In the beginning, the “data warehouse” was a concept that was not accepted by the database fraternity. From that humble beginning, the data warehouse has become conventional wisdom and is a standard ...
The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Unlocking data trapped in millions of documents – including PDFs, images, ...
What you need to know about Google Cloud Next data announcements: BigLake support for Apache Iceberg, Hudi and Delta Lake; BigQuery adds unstructured data, Apache Spark and DataStream support; Looker ...
In this podcast, we talk to Pure Storage about the challenges presented to data storage by the huge growth in unstructured data and the need to gain working insight from it. We speak with Amy Fowler, ...
Richard Meng, Roe AI CEO. Founder backed by Google AI ventures. Previously did research in UCB and led eng teams at LinkedIn and Snowflake. The data evolutions in the last 10-plus years in Silicon are ...
As we have pointed out before, large enterprises have to deal with a different kind of scale issue than the hyperscalers, and in many ways, the hyperscalers have it easier. The hyperscalers have ...
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