AWS vs Azure: What’s the Difference in 2024?
Tamr: The DataOps Approach to Data Mastering
The gap between business needs around data quality and availability, and the reality of the state of enterprise data has never been larger. As enterprise data grows exponentially, decades of technologies have failed to address the challenge of large data volume and variety. As a result, many analytics and data projects fail to keep pace with business needs.
Tamr’s data mastering solutions—driven by machine learning with intuitive workflows for engaging data experts effectively—accelerate the ability to connect internal and external datasets and answer critical business questions.
In this document, you’ll learn:
- How Tamr’s data mastering solutions power analytic insights
- Tamr’s core competencies in a best-of-breed data management ecosystem
- The importance of cloud-native, open architectures for scaling
- How Tamr complements or can replace MDM solutions
Recommended Content
Trending Content
What is Multi-Cloud Architecture? Definition & Use Cases
Meet MAI-1: The New AI Model by Microsoft that Rivals GPT-4
Ministry of Defence Data Exposed in China-Linked Cyber Attack
Modern Healthcare Diagnostic Testing & Monitoring