DataBuck is the enterprise AI data quality platform that finds hidden errors, reconciles data & validates via SDK—no manual rules, faster trusted data.
United States
Joined April 2010
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Compare and reconcile data in different #AWS #S3 buckets automatically with AI Agents. If you are updating your #ETL or switching to a new ETL vendor, you should verify that the new ETL performs exactly what the old ETL did. youtu.be/GGxYH0jOuxY?si=pbzB… via @YouTube
Check out my latest article: Data Preprocessing with AI Guardrails to Reduce Anti-Money Laundering (AML) False Alerts by 50% linkedin.com/pulse/data-prep… via @LinkedIn
FirstEigen retweeted
Staff, EC members and family gathered today at @sevavardhini to assemble the first lot of Diwali kits to be sent to our sisters. Please use the information provided to send in your contribution or share with others if you can. Thank you for your support.
Check out my latest article: How to Architect Data Quality on Snowflake – Serverless, Autonomous, In-Situ Data Validation linkedin.com/pulse/how-archi… via @LinkedIn
Data errors due to “Systems Risks” are the biggest contributors to untrustworthy data. As ETL jobs move data between systems, errors creep in and steadily multiply like cancer across an enterprise. @FirstEigen video.cube365.net/c/934962 #DataValidation #DataQuality #DataErrors
How inaccurate data damages brands... Brands take years to build. An error or two can destroy it in an instance. @FirstEigen @DataBuck video.cube365.net/c/934961 #DataValidation #DataQuality #DataErrors
DataBuck Monitor- setup data monitoring on AWS youtu.be/KBlgjYopL0g via @YouTube
Monitor #Cloud data on #AWS with DataBuck Monitor. Know the health of your data assets, its #DataQuality and track its ups and downs autonomously with #AI/#ML.
Smart #DataQuality Tip-18: Virus pandemic causes distress because its impact is measured. #DataQuality pandemic spreads like a virus, is pernicious and is seldom quantified. DataBuck Autonomous DQ monitoring stops poor data pandemic infecting your systems.