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Fundamentals of Data Observability : Implement Trustworthy End-to-end Data So...

Description: Fundamentals of Data Observability : Implement Trustworthy End-to-end Data Solutions, Paperback by Petrella, Andy, ISBN 1098133293, ISBN-13 9781098133290, Brand New, Free shipping in the US Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enable data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or machine learning engineer, or if the quality of your work 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 observabilityUse data observability to detect, troubleshoot, and prevent data issuesFollow th�¢??s recipes to implement observability in your data projects Use data observability to create a trustable communication framework with data consumersLearn how to educate your peers about the benefits of data observability

Price: 49.45 USD

Location: Jessup, Maryland

End Time: 2024-10-27T23:04:23.000Z

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Fundamentals of Data Observability : Implement Trustworthy End-to-end Data So...

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Return shipping will be paid by: Buyer

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Book Title: Fundamentals of Data Observability : Implement Trustworthy End-to

Number of Pages: 250 Pages

Language: English

Publication Name: Fundamentals of Data Observability : Implement Trustworthy End-To-End Data Solutions

Publisher: O'reilly Media, Incorporated

Subject: Data Modeling & Design, Desktop Applications / Databases, Data Processing, Databases / Data Warehousing, Databases / Data Mining

Publication Year: 2023

Item Height: 0.7 in

Item Weight: 17 Oz

Type: Textbook

Subject Area: Computers

Author: Andy Petrella

Item Length: 9.2 in

Item Width: 7 in

Format: Trade Paperback

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