Modernizing Data Architectures with Data Virtualization
-
By
Tim King
, Executive Editor at Solutions Review - Best Practices,
This slideshow, which was presented at the Data Summit Conference in New York by Denodo‘s CMO Ravi Shankar, goes into length to discuss the modernization of data architectures with Data Virtualization. As a result, enterprises are dramatically reducing data proliferation to ensure that all users are working with one version of the truth. The presentation also explains how virtualization can assist organizations drive standardization, measure and improve data quality, expose data lineage, enable company-wide Data Integration, and serve as a common provisioning point for users to gain access to all sources of data.
Widget not in any sidebars
This article was written by Tim King on June 14, 2016
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.
- The Most Important Data Engineering Tools to Consider for 2026 - September 26, 2025
- What the AI Impact on Data Engineering Jobs Looks Like Right Now - April 24, 2025
- The 17 Best AI Agents for Data Integration to Consider in 2025 - April 22, 2025
