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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics

AWS Big Data

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. This post demonstrates how the new enhanced metrics help you monitor and debug AWS Glue jobs.

Metrics 95
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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring. In this post, we explore how to connect QuickSight to Amazon CloudWatch metrics and build graphs to uncover trends in AWS Glue job observability metrics.

Metrics 104
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Misled by metrics: 7 KPI mistakes IT leaders make

CIO Business Intelligence

Today, many CIOs feel the same way about metrics. Metrics are only as good as their source. Too often, technology companies pay consulting or analyst firms to create metrics based on the best characteristics of their offerings,” says Judith Hurwitz, CEO of Hurwitz Strategies, an emerging technology consulting firm.

Metrics 132
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iostudio delivers key metrics to public sector recruiters with Amazon QuickSight

AWS Big Data

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. In this post, we discuss how we built a solution using QuickSight that delivers real-time visibility of key metrics to public sector recruiters. We can pick what we need, and use what we need with pay-as-you-go pricing.

Metrics 97
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The Five Use Cases in Data Observability: Mastering Data Production

DataKitchen

Quickly locate and address data or process errors before they affect downstream results. Critical Questions in Data Production Effective data observability in production requires answers to several critical questions to ensure data integrity and operational efficiency: Are key performance metrics within expected ranges?

Testing 124
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Data Observability and Data Quality Testing Certification Series

DataKitchen

Chris will overview data at rest and in use, with Eric returning to demonstrate the practical steps in data testing for both states. Session 3: Mastering Data Testing in Development and Migration During our third session, the focus will shift towards regression and impact assessment in development cycles.

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3 Ways Atlas for Microsoft Dynamics 365 F&O Addresses Data Integrity Issues

Jet Global

Instead, it blends into the rest of the numbers, skewing key metrics and performance figures without giving any indication that the “truth” could be completely wrong. Data integrity issues are a bigger problem than many people realize, mostly because they can’t see the scale of the problem.