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Brief Summary of Book: Data Quality Fundamentals by Barr Moses
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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 and “good pipelines, bad data and ” 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 Quality Fundamentals by Barr Moses – eBook Details
Before you start Complete Data Quality Fundamentals PDF EPUB by Barr Moses Download, you can read below technical ebook details:
- Full Book Name: Data Quality Fundamentals
- Author Name: Barr Moses
- Book Genre: Technical
- Series Detail:
- ISBN # 9781098112028
- ASIN #
- Edition Language: English
- Date of Publication: September 15, 2022
- PDF / EPUB File Name: Data_Quality_Fundamentals_-_Barr_Moses.pdf, Data_Quality_Fundamentals_-_Barr_Moses.epub
- PDF File Size: 8.9 MB
- EPUB File Size: 10 MB
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