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New Approaches to Visualizing Snowflake Query Statistics with Snowflake Technology Partners

Snowflake

Snowflake maintains its commitment to customers and ongoing platform improvements. Many users have found our instructor-led training courses and Snowflake Summit breakout sessions (especially the “Operating and Optimizing Snowflake” learning track) provide the resources they need to be successful.

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The Future of the Data Lakehouse – Open

Cloudera

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. The second generation of the Hive Metastore added support for transactional updates with Hive ACID. Delta Lake added transaction support to the data in a lake.

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Data Engineering Weekly #127

Data Engineering Weekly

Sign up free to test out the tool today. The blog narrates the difference between deterministic and non-deterministic system design and the challenges of building LLM applications in production. Editor’s Note: 🚀🌐🎉 Calling all Data Engineering Weekly Readers! I print this out and read it a couple of times.

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Snowflake Arctic: The Best LLM for Enterprise AI — Efficiently Intelligent, Truly Open

Snowflake

Members of the Snowflake AI Research team pioneered systems such as ZeRO and DeepSpeed , PagedAttention / vLLM , and LLM360 which significantly reduced the cost of LLM training and inference, and open sourced them to make LLMs more accessible and cost-effective for the community. Truly Open: Apache 2.0

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Announcing New Innovations for Data Warehouse, Data Lake, and Data Lakehouse in the Data Cloud 

Snowflake

At Snowflake, we don’t think prescribing a single pattern for all customers to adopt suits their interests. For example, customers who need a centralized store of data in large volume and variety – including JSON, text files, documents, images, and video – have built their data lake with Snowflake.