Remove Measurement Remove Metadata Remove Testing
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What are model governance and model operations?

O'Reilly on Data

A catalog or a database that lists models, including when they were tested, trained, and deployed. A catalog of validation data sets and the accuracy measurements of stored models. Metadata and artifacts needed for a full audit trail. Model operations, testing, and monitoring. region, age, recency, frequency, etc.),

Modeling 258
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Write queries faster with Amazon Q generative SQL for Amazon Redshift

AWS Big Data

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

Metadata 105
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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Data quality must be embedded into how data is structured, governed, measured and operationalized. Publish metadata, documentation and use guidelines.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Know thy data: understand what it is (formats, types, sampling, who, what, when, where, why), encourage the use of data across the enterprise, and enrich your datasets with searchable (semantic and content-based) metadata (labels, annotations, tags). Test early and often. Test and refine the chatbot. Conduct market research.

Strategy 290
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How REA Group approaches Amazon MSK cluster capacity planning

AWS Big Data

To address this, we used the AWS performance testing framework for Apache Kafka to evaluate the theoretical performance limits. We conducted performance and capacity tests on the test MSK clusters that had the same cluster configurations as our development and production clusters.

Metrics 97
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Enhance data governance with enforced metadata rules in Amazon DataZone

AWS Big Data

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

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A Day in the Life of a DataOps Engineer

DataKitchen

There are no automated tests , so errors frequently pass through the pipeline. There is no process to spin up an isolated dev environment to quickly add a feature, test it with actual data and deploy it to production. Finally, when your implementation is complete, you can track and measure your process.

Testing 152