Remove Accessible Remove Metadata Remove Webinar
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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. Finally, Bergh explained that analysts use the data, and they may have a self-service layer where they can access the data they need to analyze. Watch the webinar today!

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Ensono Cuts Costs with Snowflake Connector for ServiceNow

Snowflake

The connector provides immediate access to up-to-date ServiceNow data without the need to manually integrate against API endpoints. Customers get a fully managed service with no additional access fees set by Snowflake. It’s available with no additional access fees set by Snowflake and uses Snowflake credits for compute and storage.

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Accelerate Your Machine Learning Workflows in Snowflake with Snowpark ML 

Snowflake

Snowpark ML Operations: Model management The path to production from model development starts with model management, which is the ability to track versioned model artifacts and metadata in a scalable, governed manner. The Snowpark Model Registry API provides simple catalog and retrieval operations on models.

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Leveraging AI & Automation in Data Engineering: 4 Essential Frameworks

Ascend.io

This article (based on the webinar below) explores how data engineering teams can leverage AI and automation to enhance productivity and tackle current challenges. AI Implementation Framework #1- Levels of Access The first framework focuses on defining levels of access for AI and automation tools.

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Streamlining the Media Supply Chain

Snowflake

Customer behavior and preferences are constantly changing and growing more demanding — users now expect content to be easily accessible anytime, anywhere, from any device. But media supply chains are becoming more complex to manage for several reasons. The post Streamlining the Media Supply Chain appeared first on Snowflake.

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Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. Only metadata will be regenerated. Only metadata will be regenerated. Amazingly fast table migration. Data quality using table rollback.

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Our product vision for analytics in the age of AI

ThoughtSpot

As a result, end users expect faster response times and easier access to meaningful insights. 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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