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Tamr Launches Fall 2019 Data Unification System to Enable Analytic Insights


Tamr has announced general availability of the Fall 2019 release of the company's data unification system.  The latest release supports  Amazon Web ServicesGoogle Cloud, and Microsoft Azure and adds geospatial mapping geospatial mapping and additional enhancements to make it faster and easier to unify large numbers of heterogeneous sources.

Tamr is a data integration software platform that uses supervised machine learning to unify data silos. It enables data engineers to harness the power of machine learning to build automated pipelines that integrate, master, and classify disparate data.

With Tamr's new geospatial data capability, users can match pairs of records that contain geospatial data; run transformations on records with geospatial data, such as calculate the area or the perimeter; put matched records into clusters based on features extracted from geospatial data and eliminate duplicates; and align records containing geospatial data with existing taxonomies.

Additional Fall 2019 features include:

Access Control: Tamr now offers a policy-based access control, where you may apply security policies to users, groups, and resources to govern their read and write access in Tamr. Migration to the new access control scheme is automatic as part of this version's installation process.

Job Management: Tamr users can run jobs in parallel and configure the system to have sufficient resources for running multiple jobs concurrently. When sharing the same instance with others in a group, the administrator can configure Tamr to enable running jobs in parallel.

Steward: Steward is a new approach to collecting feedback on analytics. It is the first feedback system built for analytics. Tamr users can collect context-rich issues in a single place, collaboratively resolve them, and increase analytic usage.

"We're committed to helping large enterprises solve the data unification challenge, and the Fall 2019 release advances our leadership position in the marketplace," said Mark Marinelli, Tamr's head of product management. "By bringing comprehensive, scalable data unification to the cloud and integrating geospatial site data within the overall agile data mastering process, enterprises can understand and use high-quality, unified data to generate accurate, trustworthy business insights."

For more information, go to www.tamr.com/product.


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