Snowflake previews data marketplaces, governance tools and management features

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Snowflake today market This allows organizations to sell data based on usage. This was one of several announcements about the new data monetization, governance, and performance features of the cloud platform.

Announce online Snowflake SummitThe new features make the Snowflake Data Marketplace more accessible to a wide range of organizations that don’t normally monetize data today, said Christian Kleinerman, senior vice president of Snowflake.

Data marketplace

Today, there are over 160 data service providers in the market. Most of these organizations sell data commercially as a core part of their business model. However, about 20% to 30% of organizations may be able to monetize their data if it’s easy enough to sell, Kleinerman added. The biggest obstacle these organizations face is the lack of time and resources needed to set up and maintain their own data marketplace. He added that data can only be sold if it does not interfere with its mission. “It’s not their main business,” Kleinerman said.

Snowflake today also announced future editions of the platform, including a Snowpark application development environment available in private preview. Its development platform currently supports the Java and Scala programming languages, with additional languages ​​planned for future releases.

The company also previewed custom code and business logic developed by the IT team on the Snowflake platform, as well as Java user-defined functions (UDFs) that allow applications to deploy Snowflake SQL application programming interfaces (APIs) that are used. You can call Snowflake directly.

Snowflake also described a new governance tool for managing unstructured data stored on the Snowflake platform, which is based on a relational database engine. There are also classification tools that automatically detect personal information (PII) in tables and use a tagging framework to annotate data so that IT teams can apply compliance policies.

The company has promised to add support for anonymized views that better protect the privacy and identity of datasets by automatically editing sensitive data.

Daily work

For day-to-day operations on the platform, Snowflake previews usage dashboards to make it easier for customers to track resource consumption and adopts a new compression algorithm to reduce dataset size from 9% to 30%. I made it clear that I am reducing it. The type of data, Kleinerman said. Snowflake also previewed updates that can increase query throughput on a single compute cluster by up to 6x and average query duration by up to 8x.

Finally, Snowflake said the platform is now available as the next data source. Amazon SageMaker Data Wrangler, A tool available to cloud service providers to collect data for training AI models. The company said it is rolling out a Powered by Snowflake branding initiative for partners building applications on cloud platforms.

Snowflake as a cloud service running on Amazon Web Services Cloud I’m getting a fair amount TractionDespite the fact that AWS offers rival services. In addition, competitors claim a data lake based on an object storage system that eliminates the need for a separate platform for querying databases. The core features that differentiate Snowflake are how to make tightly coupled datasets available and the overall governance features that Snowflake can provide.

It’s not clear how the battle between data platforms in the cloud will unfold. The line between what makes up a data warehouse and what makes up a data lake is blurry, but as more data is stored in the cloud, it can become more difficult to order potential disruptions. it is clear.

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Snowflake previews data marketplaces, governance tools and management features

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