Remove 2022 Remove Metadata Remove Metrics
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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. With DataRobot AI Cloud, you can see predicted values and accuracy for various metrics for the Champion as well as any Challenger models.]. Model Observability with Custom Metrics.

Metrics 145
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7 enterprise data strategy trends

CIO Business Intelligence

The fabric, especially at the active metadata level, is important, Saibene notes. The approach provides business-critical insights into application information, schema, metrics, and lineage, says Andy Petrella, founder of data observability provider, Kensu, and the author of Fundamentals of Data Observability (O’Reilly, 2022).

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How AI can deliver eye-opening insights for IT

CIO Business Intelligence

Traditional IT monitoring software tells you what is happening via metrics, logs, traces, alerts, etc. 1 Gartner, “ Market Guide for AIOps Platforms ,” Pankaj Prasad, Padraig Byrne, and Gregg Siegfried, May 30, 2022 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S.

IT 138
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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments. From Bad to Worse. One possible solution is to adopt a hybrid cloud strategy. .

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How Fujitsu implemented a global data mesh architecture and democratized data

AWS Big Data

To achieve data-driven management, we built OneData, a data utilization platform used in the four global AWS Regions, which started operation in April 2022. Provide and keep up to date with technical metadata for loaded data. Manage and guide metrics for the quality of data published by each publisher. Each role has sub-roles.

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Near-real-time analytics using Amazon Redshift streaming ingestion with Amazon Kinesis Data Streams and Amazon DynamoDB

AWS Big Data

On the Monitoring tab, find the PutRecord success – average (Percent) and PutRecord – sum (Bytes) metrics to validate record ingestion. To avoid reprocessing the same data, a metadata table can be maintained at Amazon Redshift to keep track of each ELT process with status, start time, and end time, as explained in the following section.

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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

In 2022, AWS published a dbt adapter called dbt-glue —the open source, battle-tested dbt AWS Glue adapter that allows data engineers to use dbt for cloud-based data lakes along with data warehouses and databases, paying for just the compute they need.

Data Lake 121