By moving Cortex into dbt and Airflow, Snowflake is aiming to eliminate context switching and pull AI closer to production pipelines, analysts say.
Databricks announced the Databricks Lakebase is now generally available on AWS—introducing a new class of operational database that treats infrastructure as a flexible, on-demand service. According to ...
So, you want to learn Python? That’s cool. A lot of people are getting into it these days because it’s used for all sorts of things, from building websites to analyzing data. If you’re looking for a ...
Databricks now has access to over $7 billion in debt, a person familiar with the matter told CNBC. Investors valued the data analytics software maker at $134 billion in a funding round announced in ...
Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.
Databricks said it is raising $4 billion at a $134 billion valuation to support AI app building. The valuation is a 34% jump from a funding round announced in August. Companies such as Databricks, ...
Data analytics company Databricks is in discussions to raise about $5B at a $134B valuation, which is nearly 32 times this year's expected sales of about $4.1B, The Information reported, citing ...
Databricks is turning heads amid reports of a major new funding round following strong sales growth over the course of this year. The fast-growing AI and data analytics firm is looking to raise $5 ...
The latest trends and issues around the use of open source software in the enterprise. Industrial AI company Cognite has detailed a new partnership with data engineering company Databricks with plans ...
Databricks recently reached a valuation exceeding $100 billion following its latest funding round, joining the elite group of most-valuable private companies like SpaceX, ByteDance and OpenAI.
Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...
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