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Webinar Summary: Data Mesh and Data Products

DataKitchen

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Watch the webinar today! The post Webinar Summary: Data Mesh and Data Products first appeared on DataKitchen.

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Why Spatial Data Governance is Critical to Your Business Strategy

Precisely

This journey must include a strong data governance framework to align people, processes, and technology, and enable them to understand and trust their data and metadata to achieve their business objectives. Does our organization’s data governance service include visibility and transparency of our spatial data and their metadata?

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Our product vision for analytics in the age of AI

ThoughtSpot

Not only does ThoughtSpot not store your sample data or metadata, or use this information for model training, but we are also investing in bring-your-own and host-your-own model capabilities for both generative AI and machine learning models.

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Data Engineering Weekly #159

Data Engineering Weekly

Learn about Cube, the universal semantic layer, in an upcoming technical webinar. Register for our webinar to explore Cube Cloud and learn about the convenient UI for easier data modeling. I believe the data ownership problem is much deeper than simple metadata management.

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Data Engineering Weekly #162

Data Engineering Weekly

Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects. Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses.

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Optimization Strategies for Iceberg Tables

Cloudera

A bloated metadata.json file could increase both read/write times because a large metadata file needs to be read/written every time. Regularly expiring snapshots is recommended to delete data files that are no longer needed, and to keep the size of table metadata small.

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Real-time AI: Live Recommendations Using Confluent and Rockset

Rockset

The Rockset console where you can setup the Confluent Cloud integration Real-time updates and metadata filtering in Rockset While Confluent delivers the real-time data for AI applications, the other half of the AI equation is a serving layer capable of handling stringent latency and scale requirements.