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Oracle MySQL Heatwave Lakehouse goes GA to query data - Vimarsana News

Oracle MySQL Heatwave Lakehouse goes GA to query data

Oracle is staking its claim in the data lakehouse business while continuing to augment its ongoing generative AI efforts.

iTWire - Informatica announces SuperPipe for Snowflake with Up to 3.5x faster data integration and replication - Vimarsana News

iTWire - Informatica announces SuperPipe for Snowflake with Up to 3.5x faster data integration and replication

COMPANY NEWS: Informatica, an enterprise cloud data management leader today announced the launch of four new product capabilities to bring greater sim...

Source: itwire.com
Generative AI front and center at Databricks' Data + AI summit, following MosaicML acquisition - Vimarsana News

Generative AI front and center at Databricks' Data + AI summit, following MosaicML acquisition

Databricks turned the spotlight on generative AI at its annual Data + AI summit, as it announced a host of new Lakehouse AI innovations. This focus on generative AI, the company said, "highlights the inflection point reached with the rise in the popularity of large language models (LLMs)". In April, the company launched what it

Snowflake Concludes its Largest Data, Apps, and AI Event with New Innovations that Bring Generative AI to Customers' Data and Enable Organizations to Build Apps at Scale - Vimarsana News

Snowflake Concludes its Largest Data, Apps, and AI Event with New Innovations that Bring Generative AI to Customers' Data and Enable Organizations to Build Apps at Scale

Snowflake Summit 2023 becomes largest in-person Snowflake conference to-date with nearly 12,000 global in-person attendees, 440+ sessions, 250+ customer speakers, 200+ ecosystem partners, and more Snowflake Summit 2024 will be hosted in San Francisco, June 3-6, 2024, welcoming the annual user conference back to the Bay Area where it was originally founded

Data analytics in the cloud: understand the hidden costs - Vimarsana News

Data analytics in the cloud: understand the hidden costs

When it comes to cost and performance, long-running, data heavy workloads are often better run on-prem.

Source: cio.com