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Analytics

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.

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.

Snowflake Horizon Demo for Data Governors And Stewards

Ravi Kumar, Senior Partner Sales Engineer at Snowflake, shows you how to govern and discover data, apps, and more in Snowflake Horizon. In this demo targeted at data governors and stewards, learn and try the core capabilities of Snowflake Horizon such as classifying and tagging sensitive data, visualizing lineage, monitoring data quality, and applying granular policies.

Data Security and Compliance: 5 Essential Considerations

With data continuously growing in complexity and quantity, ensuring data security is more important than ever when choosing to buy a business intelligence (BI) solution. From data protection to data governance, having a BI platform that enables you to control, audit, encrypt and manage user access and usage of sensitive data is essential.

Secure and scalable data lifecycles with RedHat and Cloudera

Firas Yasin, Global Alliance Manager of AI/ML at RedHat, introduces the RedHat and Cloudera partnership. Firas shares that customers are often missing the combination of security, scalability and support when deploying open-source solutions for their end-to-end data lifecycles. In this video, Firas highlights that together with RedHat OpenShift and Cloudera Data Platform, customers can achieve security and scalability through the joint solution, in addition to catalyzing on RedHat and Cloudera’s unrivaled support offerings.