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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Petrella, Andy | - |
dc.date.accessioned | 2024-07-23T02:05:28Z | - |
dc.date.available | 2024-07-23T02:05:28Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10351 | - |
dc.description.abstract | 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. | vi |
dc.format.extent | 216 pages | vi |
dc.language.iso | en | vi |
dc.publisher | O'Reilly Media, Inc | vi |
dc.subject | Dữ liệu | vi |
dc.subject | Sử dụng dữ liệu | vi |
dc.subject | Ứng dụng dữ liệu | vi |
dc.subject | Quan sát dữ liệu | vi |
dc.title | Fundamentals of Data Observability : Implement Trustworthy End-to-End Data Solutions | vi |
dc.type | Sách/Book | vi |
Appears in Collections | Tin học |
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