Data Quality Fundamentals — Scriptorium Liberum

Fundamentals of Spatial Data Quality

✍ Rodolphe Devillers, Robert Jeansoulin 📂 Library 📅 2006 🏛 Wiley-ISTE 🌐 English

Spatial data quality, which helps minimize the risks of data misuse in a specific decision-making context, is explained in this book that provides perspectives on how to evaluate the quality of vector or raster data for both the data producer and the data user. Key concepts covered include describin

Fundamentals of spatial data quality

📁 Fundamentals of spatial data quality

✍ Rodolphe Devillers, Robert Jeansoulin 📂 Library 📅 2006 🏛 ISTE 🌐 English

This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspec

Data Quality Fundamentals: A Practitione

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

✍ Barr Moses, Lior Gavish, Molly Vorwerck 📂 Library 📅 2022 🏛 O'Reilly Media 🌐 English

Do your product dashboards look funky? Are your quarterly reports stale? Is the data set 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 these questions, this book is f

Data Quality Fundamentals: A Practitione

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

✍ Barr Moses 📂 Library 📅 2022 🏛 O'Reilly Media 🌐 English

Do your product dashboards look funky? Are your quarterly reports stale? Is the data set 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 these questions, this book is f

Guide to quality control and performance

📁 Guide to quality control and performance improvement using qualitative (attribute) data. Fundamentals of standard attribute charting for monitoring, control and improvement

📂 Scientific

Data Quality

📁 Data Quality

✍ Y. Richard Wang Richard Y. Wang Mostapha Ziad 📂 Library 📅 2001 🏛 Springer 🌐 English

Data Quality provides an expos? of research and practice in the data quality field for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other leading research institutions. This book is intended primarily fo