Data Quality Fundamentals: A Practitioners Guide to Building Trustworthy Data Pipelines Moses Barr
Do your product dashboards look funky? Is the dataset you're using broken or just plain wrong? Are your quarterly reports stale? If you answered yes to any of the questions above, this book is for you.Many data engineering teams today face the "good pipelines, bad data&… Celý popis ↓
Porovnanie cien Data Quality Fundamentals: A Practitioners Guide to Building Trustworthy Data Pipelines Moses Barr
Popis Data Quality Fundamentals: A Practitioners Guide to Building Trustworthy Data Pipelines Moses Barr
Data Quality Fundamentals: A Practitioners Guide to Building Trustworthy Data Pipelines Moses Barr
Do your product dashboards look funky? Is the dataset you're using broken or just plain wrong? Are your quarterly reports stale?
If you answered yes to any of the questions above, this book is for you.Many data engineering teams today face the "good pipelines, bad data" problem. These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad.
In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies.Build more trustworthy and reliable data pipelines Write scripts to make data checks and identify broken pipelines with data
Parametre
- Výrobca
- O'Reilly Media
Podobné produkty
Building Big Data Pipelines with Apache Beam
Practitioners Guide to Data Science Lin Hui
A Practitioners Guide to Cannabis Turner Win
Ultimate Guide to Link Building
Guide to Intelligent Data Science
Building a Data Warehouse Rainardi Vincent
Fundamentals of Building a Bamboo Fly-Rod
Practical Guide to Using Panel Data
