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Data Observability vs. Monitoring vs. Testing

Dataversity

As these pipelines become more complex, it’s important […] The post Data Observability vs. Monitoring vs. Testing appeared first on DATAVERSITY. These products rely on a tangle of data pipelines, each a choreography of software executions transporting data from one place to another.

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Ethical Considerations with Data-Driven Employee Monitoring

Smart Data Collective

One of the biggest examples is with employee monitoring. Many companies are using data analytics to monitor their employee productivity and other behavior. Employers Must Find Ethical Ways to Use Data Analytics to Monitor their Workers. However, employees have different perceptions of employee monitoring with big data.

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Database Activity Monitoring – A Security Investment That Pays Off

Smart Data Collective

How can database activity monitoring (DAM) tools help avoid these threats? What is the role of machine learning in monitoring database activity? On the other hand, monitoring administrators’ actions is an important task as well. Do database activity monitoring systems need user behavior analytics features?

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How to Put Together an Effective SQL Server Monitoring Strategy

Smart Data Collective

And of course, the only way to make sure you handle this effectively and efficiently is to put a monitoring strategy in place. There are several steps to take, and many considerations to take onboard, when building your own SQL Server monitoring strategy, so here are just a few pieces of guidance that will help you avoid common pitfalls.

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DOL Final Overtime Rules: Quickstart Guide for Employers

Paycor is closely monitoring the proposal and will provide updates as new information becomes available. On August 30, 2023, the DOL unveiled a proposed overtime rule that would raise the weekly salary threshold under the Federal Labor Standards Act.

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Testing and Monitoring Data Pipelines: Part Two

Dataversity

While this technique is practical for in-database verifications – as tests are embedded directly in their data modeling efforts – it is tedious and time-consuming when end-to-end data […] The post Testing and Monitoring Data Pipelines: Part Two appeared first on DATAVERSITY.

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Observability Maturity Model: A Framework to Enhance Monitoring and Observability Practices

Dataversity

Imagine this heartfelt conversation between a cloud architect and her customer who is a DevOps engineer: Cloud architect: “How satisfied are you with the monitoring in place?” We just monitor our servers and their health status – nothing more.” DevOps engineer: “It is all right.