Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions (Grayscale Indian Edition)

Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions (Grayscale Indian Edition) (Paperback, Andy Petrella)

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Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions (Grayscale Indian Edition)  (Paperback, Andy Petrella)

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    • Binding: Paperback
    • Publisher: Shroff/O’Reilly
    • Genre: Computing & Information Technology
    • ISBN: 9789355424433, 9355424434
    • Edition: First, 2023
    • Pages: 264
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  • Description
    All Indian Reprints of O'Reilly are Printed in Grayscale. 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.
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    Publication Year
    • 2023
    Contributors
    Author Info
    • Andy Petrella has been in the data industry for almost 20 years, starting his career as a software engineer and data miner in the GIS space. He has evangelized big data for more than a decade, especially Apache Spark for which he created the Spark-Notebook (that has 3100 stars on Github).
    University Books Details
    Specialization
    • DATA OBSERVABILITY
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