Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions
A

Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions

Data Science
data observability data engineering data quality machine learning Spark data pipelines end-to-end solutions
Автор
Andy Petrella
Издательство
O'Reilly Media
Год
2023
Язык
Английский
31
Оцените книгу

Чтобы читать книгу, войдите / зарегистрируйтесь

Ознакомительный фрагмент

Похожие книги

Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines

Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines

Barr Moses, Lior Gavish, Molly Vorwerck

End-to-End Observability with Grafana: A comprehensive guide to observability and performance visualization with Grafana

End-to-End Observability with Grafana: A comprehensive guide to observability and performance visualization with Grafana

Ajay Reddy Yeruva, Vivek Basavegowda Ramu

Azure Data Factory by Example: Practical Implementation for Data Engineers, Second Edition

Azure Data Factory by Example: Practical Implementation for Data Engineers, Second Edition

Richard Swinbank

Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

Bartosz Konieczny

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Joe Reis, Matt Housley

Exploring Data Science with R and the Tidyverse: A Concise Introduction

Exploring Data Science with R and the Tidyverse: A Concise Introduction

Jerry Bonnell, Mitsunori Ogihara

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

Thomas Nield

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

Roy Jafari

Observability For Legacy Systems: Methods and Solutions with OpenTelemetry and AIOps

Observability For Legacy Systems: Methods and Solutions with OpenTelemetry and AIOps

Hyen Seuk Jeong

Hands-On Data Structures and Algorithms with Python. Third Edition

Hands-On Data Structures and Algorithms with Python. Third Edition

Dr. Basant Agarwal