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Data Observability for Data Engineering

You're reading from Data Observability for Data Engineering

Product type Book

Published in Dec 2023

Publisher Packt

ISBN-13 9781804616024

Pages 228 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Authors (2):

Michele Pinto

Sammy El Khammal

View More author details

Table of Contents (17) Chapters

Preface

1. Part 1: Introduction to Data Observability

2. Chapter 1: Fundamentals of Data Quality Monitoring

3. Chapter 2: Fundamentals of Data Observability

4. Part 2: Implementing Data Observability

5. Chapter 3: Data Observability Techniques

6. Chapter 4: Data Observability Elements

7. Chapter 5: Defining Rules on Indicators

8. Part 3: How to adopt Data Observability in your organization

9. Chapter 6: Root Cause Analysis

10. Chapter 7: Optimizing Data Pipelines

11. Chapter 8: Organizing Data Teams and Measuring the Success of Data Observability

12. Part 4: Appendix

13. Chapter 9: Data Observability Checklist

14. Chapter 10: Pathway to Data Observability

15. Index

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16. Other Books You May Enjoy

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Authors (2)

Michele Pinto

Michele Pinto is the Head of Engineering at Kensu. With over 15 years of experience, Michele has a great knack for understanding how data observability and data engineering are closely linked. He started his career as a software engineer and has worked since then in various roles, such as big data engineer, big data architect, head of data and until recently he was a Head of Engineering. He has a great community presence and believes in giving back to the community. He has also been a teacher for Digital Product Management Master TAG Innovation School in Milan, Italy. His collaboration on the book has been prompt, swift, eager, and very invested.

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Sammy El Khammal

Sammy El Khammal works at Kensu. He started off as a field engineer and worked his way up to the position of product manager. In the past, he has also worked with Mercedes as their Business Development Analyst – Intern. He has also been an O'Reilly teacher for 3 workshops on data quality, lineage monitoring, and data observability. During that time, he provided some brilliant insights, very responsive behaviour, and immense talent and determination.

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