Tag : Data Governance
Cloud and AI: Data management and data protection are primary pain points for CIOs and CISOs
In the rapidly evolving technology landscape, organizations are facing growing challenges when it comes to data protection and disaster recovery. Recent research by Keepit and...
DataOps.live Extends their Platform’s Capabilities to Support Broader Informatica Market Demand
New Orchestrator for Informatica’s Cloud Data Governance and Catalog meets increasing industry demand for Data Products DataOps.live, The Data Products Company™, announced today they have expanded...
Lucid Software Launches Enterprise Shield: Enhanced Solution for Strengthening Data Security and Compliance Controls
Lucid Software, the leader in visual collaboration software, announced the launch of Enterprise Shield, an enhanced layer of fortified security and granular control that organizations...
Master Data Management (MDM) in the Cloud Era
Gartner Defines Master Data Management (MDM) as a technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency...
Census Brings Transformation, Activation, and Governance Into One Collaborative Workspace With the Universal Data Platform
Data teams and business teams can now build high-trust, actionable datasets – with or without code Census, the leading data activation and reverse ETL platform,...
Bridging Data Silos: Effective Data Integration Techniques for IT Teams
A data silo is isolated data within different applications within the enterprise. Each application processes and manages raw and processed data independently, providing its own...
Top Misconceptions Around Data Operations and Breaking Down the Role of a VP of Data Ops
Introduction In today’s fast-paced business environment, data is often likened to oil—a valuable resource that powers organizational growth. However, just like crude oil needs refining...
Top 10 Anomaly Detection Software for Secured Enterprise
Anomaly detection involves identifying data points and patterns deviating from an established hypothesis. This practice, enduring through time, holds vital importance in contemporary contexts. Detecting...
What is the Difference Between Data Engineering and Data Management?
Within the domain of Big Data, the roles and functions under data engineering and data management are most of the time mixed up resulting in puzzlement...