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Analytics

Snowflake Launches the World's Best Practical Text-Embedding Model for Retrieval Use Cases

Today Snowflake is launching and open-sourcing with an Apache 2.0 license the Snowflake Arctic embed family of models. Based on the Massive Text Embedding Benchmark (MTEB) Retrieval Leaderboard, the largest Arctic embed model with only 334 million parameters is the only one to surpass average retrieval performance of 55.9, a feat only less practical to deploy models with over 1 billion parameters are able to achieve.

Top 14 ETL Tools for April 2024

Organizations of all sizes and industries now have access to ever-increasing amounts of data, far too vast for any human to comprehend. So far in 2023 so far, the world produced and consumed 328.77 million terabytes of data per day — an almost unimaginable number. However, all this information is useless without a way to efficiently process it, analyze it, and reveal the valuable data-driven insights hidden within the noise.

Snowflake Horizon Demo For Data Engineers

In this demo targeted at data engineers, Ravi Kumar, Senior Partner Sales Engineer at Snowflake, shows you how to govern and discover data, apps, and more in Snowflake Horizon. Learn and try the core capabilities of Snowflake Horizon to unify data across different sources and formats, such as by loading data securely into Snowflake based on RBAC privileges and being interoperable with Iceberg Tables in external cloud storage.

BigQuery data canvas overview

Reimagine your data analysis experience with the AI-powered BigQuery data canvas. This natural language centric tool simplifies the process of finding, querying, and visualizing your data. Its intuitive features help you discover data assets quickly, generate SQL queries, automatically visualize results, and seamlessly collaborate with others – all within a unified interface.

Introduction to Gemini in BigQuery

Data practitioners spend much of their time on complex, fragmented and sometimes, repetitive tasks. This limits their ability to focus on strategic insights and maximize the value of their data. Gemini in BigQuery shifts this paradigm by providing AI capabilities that help streamline your workflows across the entire data lifecycle.