Description
| Product ID: | 9781098133290 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Fundamentals of Data Observability |
| Subtitle: | Implement Trustworthy End-To-End Data Solutions |
| Authors: | Author: Andy Petrella |
| Page Count: | 266 |
| Subjects: | 3D graphics and modelling, 3D graphics & modelling, Database design and theory, Data capture and analysis, Data warehousing, Data mining, Database software, Information architecture, Database design & theory, Data capture & analysis, Data warehousing, Data mining, Database software, Information architecture |
| Description: | Select Guide Rating 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 observabilityUse data observability to detect, troubleshoot, and prevent data issuesFollow the book's recipes to implement observability in your data projectsUse data observability to create a trustworthy communication framework with data consumersLearn how to educate your peers about the benefits of data observability |
| Imprint Name: | O'Reilly Media |
| Publisher Name: | O'Reilly Media |
| Country of Publication: | GB |
| Publishing Date: | 2023-08-25 |
