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Data Observability for Data Engineering

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Data Observability for Data Engineering, Packt Publishing
Proactive strategies for ensuring data accuracy and addressing broken data pipelines
Von Michele Pinto, Sammy El Khammal, im heise shop in digitaler Fassung erhältlich

Produktinformationen "Data Observability for Data Engineering"

In the age of information, strategic management of data is critical to organizational success. The constant challenge lies in maintaining data accuracy and preventing data pipelines from breaking. Data Observability for Data Engineering is your definitive guide to implementing data observability successfully in your organization.

This book unveils the power of data observability, a fusion of techniques and methods that allow you to monitor and validate the health of your data. You’ll see how it builds on data quality monitoring and understand its significance from the data engineering perspective. Once you're familiar with the techniques and elements of data observability, you'll get hands-on with a practical Python project to reinforce what you've learned. Toward the end of the book, you’ll apply your expertise to explore diverse use cases and experiment with projects to seamlessly implement data observability in your organization.

Equipped with the mastery of data observability intricacies, you’ll be able to make your organization future-ready and resilient and never worry about the quality of your data pipelines again.

Artikel-Details

Anbieter:
Packt Publishing
Autor:
Michele Pinto, Sammy El Khammal
Artikelnummer:
9781804612095
Veröffentlicht:
29.12.23
Seitenanzahl:
228