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Data Observability vs. Monitoring vs. Testing

Dataversity

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

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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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Testing and Monitoring Data Pipelines: Part One

Dataversity

How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in. 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.

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7 Ways to Avoid Errors In Your Data Pipeline

Smart Data Collective

These tests look for discrepancies between data sets and any unexpected changes in the flow of data. Monitor Your Data Sources. Data sources can be the most unpredictable part of a data pipeline. It’s essential to keep an eye on them and ensure they send valid data. Utilize Data Governance Policies.

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Data Governance in Financial Services: How to Ensure Data Integrity for Risk Management and Reporting

Astera

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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Data Pipeline Monitoring: Metrics and Best Practices

Astera

This highlights the need for effective data pipeline monitoring. Data pipeline monitoring enhances decision-making, elevates business performance, and increases trust in data-driven operations, contributing to organizational success. What is Data Pipeline Monitoring?

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Don’t Create a Data Governance Tug of War between Financial Pros and IT Staff

ElegantJ BI

But, in an age of user and data breaches, the IT team may be hesitant to allow meaningful, flexible access to critical business intelligence. The team can also monitor data warehouses, legacy systems and best-of-breed solutions and identify redundant data, performance issues, data parameters, or data integrity issues.