Data Observability, Monitoring, and Data Quality (DOMaQ)

August 7th, 2024 WRITTEN BY Fresh Gravity Tags: ,

Fresh Gravity’s DOMaQ tool enables business users, data analysts, data engineers, and data architects to detect, predict, prevent, and resolve issues, sometimes in an automated fashion, that would otherwise break production analytics and AI.

Share this

Explore More Blogs

​​The Path to Agentic intelligent Data Engineering​

Written by Siddharth Mohanty, Director, Data Management Evolving Agentic AI Landscape  ​Artificial intelligence (AI) is developing quickly, moving from basic assistants to self-governing systems that can act and make decisions with little human supervision.  ​Generative AI, AI agents, agentic AI, and now the Model Context Protocol (MCP), a ground-breaking framework that standardizes how AI communicates […]

From Data to Decisions: Discover ZoomInfo’s Ready-to-Use Reltio MDM Integration

Written by Ashish Rawat, Sr. Manager, Data Management  In customer data management, where data–driven business decisions are pivotal, effectively harnessing and utilizing data is a necessity. Availability of data is no longer a problem for firms, but the identification of relevant information among vast amounts of data is certainly a puzzle. To address this critical […]

Active Metadata: Powering the Next Generation of Data Intelligence

Written by Neha Sharma, Sr. Manager, Data Management In the evolving world of data management, metadata is no longer just about documentation — it’s about activation. While traditional metadata systems have served as essential catalogs, they often sit idle, underutilized, and disconnected from the daily flow of data operations.  This is where Active Metadata changes […]

Social media & sharing icons powered by UltimatelySocial