[ CourseWikia Com ] Automating Data Quality Monitoring At Scale (Second Early Release)

[ CourseWikia.com ] Automating Data Quality Monitoring at Scale (Second Early Release)



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com







English | 2023 | ISBN: 9781098145927 | 49 pages | True EPUB, MOBI | 3.79 MB



The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data--used to build products, power AI systems, and drive business decisions--is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on contains only high-quality records.



Most data engineers, data analysts, and data scientists genuinely care about data quality, but they often don't have the time, resources, or understanding to create a data quality monitoring solution that succeeds at scale. In this book, Jeremy Stanley and Paige Schwartz from Anomalo explain how you can use automated data quality monitoring to cover all your tables efficiently, proactively alert on every category of issue, and resolve problems immediately.



If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com



Get Latest Tips and Tricks and Support Us -->> https://DevCourseWeb.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...