Название: Data Quality Fundamentals Автор: Barr Moses, Lior Gavish, and Molly Vorwerck Издательство: O’Reilly Media Год: 2022-05-31: Fourth Release Формат: ePUB Размер: 10 Mb Язык: English
Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. 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. 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 observability Program your own data quality monitors from scratch Develop and lead data quality initiatives at your company Generate a dashboard to highlight your company's key data assets Automate data lineage graphs across your data ecosystem Build anomaly detectors for your critical data assets
Data Mesh in Practice Название: Data Mesh in Practice: How to Set Up a Data-Driven Organization Автор: Max Schultze, Arif Wider Издательство: O’Reilly Media, Inc. Год:...
Data Engineering on Azure Название: Data Engineering on Azure Автор: Vlad Riscutia Издательство: Manning Publications Год: 2021 Страниц: 335 Язык: английский Формат: epub...
Managing Data Quality: A practical guide Название: Managing Data Quality: A practical guide Автор: Tim King, Julian Schwarzenbach Издательство: BCS, The Chartered Institute for IT Год: 2020...
Навигация
Вход на сайт
Реклама
Data Quality Fundamentals (Early Release) 
