The data that you consider pristine and absolutely perfect for its intended use can turn into an absolute mess overnight if the data is used in a different way. While it isn't common, there are cases where the current uses for data aren't impacted by a major underlying quality issue that, if not identified, can totally corrupt a new use of the data. No matter how clean you … [Read more...] about When Pristine Data Isn’t Pristine
data quality
6 Reasons Why Companies Fail at Data Governance
This article was written with Teresa Kovich, Principal Consultant at Das42. Everywhere we go in the cloud data space today, we're hearing one message loud and clear: "you should be thinking about data governance". It's a sentiment that we wholeheartedly endorse, but we like to take it a little bit further - you should be thinking about data governance differently. In this … [Read more...] about 6 Reasons Why Companies Fail at Data Governance
5 Strategies For Stopping Bad Data In It’s Tracks
For data teams, bad data, broken data pipelines, stale dashboards, and 5 a.m. fire drills are par for the course, particularly as data workflows ingest more and more data from disparate sources. Drawing inspiration from software development, we call this phenomenon data downtime- but how can data teams proactively prevent bad data from striking in the first place? In this … [Read more...] about 5 Strategies For Stopping Bad Data In It’s Tracks
Data 2030 Summit MEA 2023
Data 2030 Summit MEA is an annual strategy event gathering the Data Management community in one place to discuss ways of enabling faster Data Innovation and AI deployment across the enterprise by setting up a modern Data Management strategy and platform for the new decade.' ' With 20+ international speakers presenting across two days, panel discussions and plenty of networking … [Read more...] about Data 2030 Summit MEA 2023
Assuring Data Quality: How to Build a Serverless Data Quality Gate on AWS
Data is a vital element in business decision-making. Modern technologies and algorithms allow for processing and storage of huge amounts of data, converting it into useful predictions and insights. But they also require high-quality data to ensure prediction accuracy and insight value. In today's world, the importance of data quality validation is hard to overestimate. For … [Read more...] about Assuring Data Quality: How to Build a Serverless Data Quality Gate on AWS
