NEW Tool:

Use generative AI to learn more about data.world

Product Launch:

data.world has officially leveled up its integration with Snowflake’s new data quality capabilities

PRODUCT LAUNCH:

data.world enables trusted conversations with your company’s data and knowledge with the AI Context Engine™

PRODUCT LAUNCH:

Accelerate adoption of AI with the AI Context Engine™️, now generally available

Upcoming Digital Event

Are you ready to revolutionize your data strategy and unlock the full potential of AI in your organization?

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1-Click Data Catalogs For Snowflake with DataOps.live

Highly accurate, trustworthy, and timely metadata is gold to data catalogs and the business communities they serve. Integrations between DataOps.live and Data Catalogs like data.world are critical for the value they deliver to business communities looking to explore data. These integrations enable DataOps to publish the rich and highly accurate metadata we gather about data pipelines to the business catalog. The value to a customer to have 1-click, zero effort, highly accurate, data cataloguing is immense.

Join this LIVE hands-on technical masterclass session to see how to integrate DataOps.live and data.world to automate an entire Snowflake infrastructure from scratch (including databases, roles, warehouses, stages), and how customers can ingest, transform data, test data, assure data quality, share data, and then build highly accurate up-to-date data catalogs, every time a data pipeline runs, with a one single click.

This session will showcase:

  • Building data models and data pipelines

  • Maintaining core metadata about the models within the models: Who is the data steward, is this PII, etc

  • Running data pipelines to generate rich metadata

  • Publishing rich metadata to data.world

  • Results for modeling and transformation

  • Definitions of the tables / columns

  • Metadata in the repository – Key value pairs

  • Exploring these data objects and metadata in data.world

  • Automating data catalog updates from the metadata as pipelines evolve and change

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