Snowflake is one of the most popular cloud data warehouses (CDW) out there. In recent years, Snowflake developed into much more than just a data warehouse, adding the Snowflake Marketplace, Snowflake Native Apps, as well as advanced AI and ML capabilities.
While Snowflake is becoming more powerful as a platform day by day, the importance of properly ingesting and sharing data stays the same.
In recent years, the concept of data products took more prominence: In order for both people and AI to properly deal with data (visualize, analyze, etc.), data should be turned into data products - maintainable and sharable objects, instead of just raw data.
With this article, we're giving a broad overview, of how to both ingest / load data products into Snowflake, as well as how to share data products within Snowflake and outside of Snowflake.
Loading data into Snowflake is quite straight-forward. When it comes to data sharing, it becomes a bit more difficult once the data should be shared to non-Snowflake platforms and outside of your own organization.
With Monda, you can easily load and share data products. Monda is built on top of Snowflake, using all native capabilities.
Get a demo of Monda today and see how it works.
150+ data companies use Monda to easily access, create, and share AI-ready data products.
Explore all featuresMonda makes it easy to create, customize, and share AI-ready data products. Find out more about data sharing and company news on our blog.
Sign up to Monda Monthly to get data & AI thought leadership, product updates, and event notifications.
