Remove Dashboards Remove Metadata Remove Testing
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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

Now With Actionable, Automatic, Data Quality Dashboards Imagine a tool that can point at any dataset, learn from your data, screen for typical data quality issues, and then automatically generate and perform powerful tests, analyzing and scoring your data to pinpoint issues before they snowball. DataOps just got more intelligent.

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How REA Group approaches Amazon MSK cluster capacity planning

AWS Big Data

However, it wouldn’t be wise to display an excessive number of metrics on our monitoring dashboards because that could lead to less clarity and slower insights on the cluster. To address this, we used the AWS performance testing framework for Apache Kafka to evaluate the theoretical performance limits.

Metrics 97
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How Eightfold AI implemented metadata security in a multi-tenant data analytics environment with Amazon Redshift

AWS Big Data

Customers can also implement their own custom dashboards in QuickSight. The Eightfold Talent Intelligence Platform integrates with Amazon Redshift metadata security to implement visibility of data catalog listing of names of databases, schemas, tables, views, stored procedures, and functions in Amazon Redshift.

Metadata 110
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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. Choose Query data.

Metadata 105
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Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

OpenSearch Service stores different types of stored objects, such as dashboards, visualizations, alerts, security roles, index templates, and more, within the domain. Open the Amazon OpenSearch Service dashboard using the OpenSearch Dashboards URL. Jenkins retrieves JSON files from the GitHub repository and performs validation.

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Addressing Data Mesh Technical Challenges with DataOps

DataKitchen

In essence, a domain is an integrated data set and a set of views, reports, dashboards, and artifacts created from the data. The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., ….

Testing 246
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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. Metadata and artifacts needed for a full audit trail. A dashboard that provides custom views for all principals (operations, ML engineers, data scientists, business owners). Model operations, testing, and monitoring.

Modeling 258