ENGLISH

Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions

By Andy Petrella

Book information

Publisher
O'Reilly Media
Year
2023
ISBN
1098133293, 9781098133290
ASIN
B0CFNZ3PHM
Language
english
Format
PDF
Filesize
9 MB (8948783 bytes)
Edition
1
Pages
267\267
Orientation
portrait
Paginated
no
Scanned
no
Time added
2023-10-08 16:51:23
Data Ingestion; Data Architecture; Data Observabil

Description

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or machine learning engineer who depends on the quality of your data, this book shows you how to focus on the practical aspects of introducing data observability in your everyday work. Author Andy Petrella helps you build the right habits to identify and solve data issues, such as data drifts and poor quality, so you can stop their propagation in data applications, pipelines, and analytics. You'll learn ways to introduce data observability, including setting up a framework for generating and collecting all the information you need. • Learn the core principles and benefits of data observability • Use data observability to detect, troubleshoot, and prevent data issues • Follow the book's recipes to implement observability in your data projects • Use data observability to create a trustworthy communication framework with data consumers • Learn how to educate your peers about the benefits of data observability

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