☃️ It's snowing in Hal9 ❄️


Important: Hal9 enables startup founders to launch their AI-powered product in 30 days. Hal9’s startup plan includes Hal9 Onboarding (design, development, infrastructure, and maintenance) and our Hal9 Platform (compute, storage, llms) starting at $2K / month. Hal9 Onboarding is capped by hours per month and Hal9 Platform capped by compute seconds per month. Details at hal9.com/plans.

You can now find data insights with generative AI directly within Snowflake 🤯 or with a traditional connection from Hal9 to Snowflake -- We will explain both integration approaches in this post.

Overview

Snowflake is a cloud-based data warehouse designed to handle large volumes of structured and semi-structured data. The following video provides a walkthrough and demos to use Hal9 with Snowflake to find business insights.

video preview

Hal9 within Snowflake

Hal9 can run within Snowflake's compute resources and authentication to leverage any dataset. When Hal9 runs in Snowflake, it follows the style guidelines expected from Snowflake apps, but you can ask the same analytics questions and get the same interactive reports you would expect from Hal9.

For example, the following screenshot showcases asking to Snowflake: How many suppliers do we have per country? which generates an interactive analytics report.

This integration requires Hal9's Enterprise Plan, see hal9.com/plans. Users can then access our installation resources and help from our team to set this up with your technical team. Request a demo in hal9.com to discuss your particular integration requirements.

Hal9 and Snowflake

In addition, you can also connect with Snowflake using hal9.com or from your enterprise infrastructure. Other posts have already covered how to make use of files, databases and services with Hal9. Since Snowflake is a database, it can be accessed as a traditional database from Hal9.

If you have any questions, reach out to us, looking forward to chatting with you.

-- The Hal9 Team

Hi from Hal9!

Our team publishes updates on Machine Learning Apps, Data Science and Artificial Intelligence. Looking forward to staying in touch.

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