data.world has officially leveled up its integration with Snowflake’s new data quality capabilities
data.world enables trusted conversations with your company’s data and knowledge with the AI Context Engine™
Accelerate adoption of AI with the AI Context Engine™️, now generally available
Understand the broad spectrum of search and how knowledge graphs are enabling data catalog users to explore far beyond data and metadata.
Join our Demo Day to see how businesses are transforming the way they think about and use data with a guided tour through the extraordinary capabilities of data.world's data catalog platform.
Are you ready to revolutionize your data strategy and unlock the full potential of AI in your organization?
Come join us in our mission to deliver data for all and data for good!
Are you ready to revolutionize your data strategy and unlock the full potential of AI in your organization?
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
Join Tim, Juan, Ole to discuss the future of data catalogs and why knowledge is at the center.
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