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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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Emerging Cybersecurity Trends to Monitor in 2021

Dataversity

The post Emerging Cybersecurity Trends to Monitor in 2021 appeared first on DATAVERSITY. With more people than ever before accessing the internet for work or pleasure, the number of targets for cybercriminals continues to increase daily, as does the number of cyberattacks. In addition, factors such as the ongoing COVID-19 […].

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The Role of Application Performance Monitoring in Big Data Application Development

Smart Data Collective

As data-driven application development becomes more common, application performance monitoring will be more essential as well. Application performance monitoring (APM) involves looking at processes and tools that help information technology professionals ensure that their products work well. What Goes Into APM?

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Output Monitoring to Overcome LLM Vulnerabilities

Dataversity

Despite these challenges, businesses are […] The post Output Monitoring to Overcome LLM Vulnerabilities appeared first on DATAVERSITY. This concern is compounded further by the lag in legislative regulations to address these risks.

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The Benefits of Observability Go Beyond Network Monitoring

Dataversity

Observability has proved to be highly effective in measuring the […] The post The Benefits of Observability Go Beyond Network Monitoring appeared first on DATAVERSITY.

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Testing and Monitoring Data Pipelines: Part One

Dataversity

Data testing uses a set of rules to check if the data conforms to […] The post Testing and Monitoring Data Pipelines: Part One appeared first on DATAVERSITY. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in.

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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.