Remove Accessibility Remove Metadata Remove Webinar
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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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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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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.

BI 105
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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.

Cloud 85
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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Forrester ).

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12 Times Faster Query Planning With Iceberg Manifest Caching in Impala

Cloudera

In this blog, we will discuss performance improvement that Cloudera has contributed to the Apache Iceberg project in regards to Iceberg metadata reads, and we’ll showcase the performance benefit using Apache Impala as the query engine. Impala can access Hive table metadata fast because HMS is backed by RDBMS, such as mysql or postgresql.

Java 75