Tamr Versioned API
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About Tamr
Some of the world’s largest organizations use Tamr's machine-learning solution to achieve transformational analytic and operational outcomes by taking a fundamentally different approach to curating and enriching data.
Tamr uses probabilistic models created through machine learning and enriched by human expertise to quickly unify data at a previously unprecedented scale. The results are breakthrough insights that lead to new growth opportunities, cost savings, and operational improvements -- delivered in a fraction of the time and cost of traditional rules-based approaches.
Tamr’s core functionality focuses on agile unification and deduplication of data from internal and external sources to enable the rapid consumption of mastered, analytics-ready datasets throughout the enterprise.
About the Rest API
Tamr’s Rest API for Mulesoft allows integration of any application, data, and device with Tamr’s DataOps workflow
Prerequisites
To use this Rest API, you have to be familiar with:
- Tamr API
- Mule runtime engine
- Anypoint Platform TM Rest APIs, Connectors and Anypoint Studio
- Mule runtime engine concepts
- Elements in a Mule flow and Global Elements
In addition, you also need the appropriate login credentials to test the connection to your target resource. For more information, visit: https://docs.tamr.com/new/reference/authentication.
Users should have the required permissions to use APIs in the Tamr instance. Refer to the mastering playbooks in Tamr’s public documentation here to see how the APIs can be applied.
API Configuration
The following is needed to configure the API:
- Host
- Port
- Base Path
- Protocol
- Response Time
- Authorization
Expected Flow
The Tamr connector currently allows users the flexibility to apply any of the versioned Tamr APIs in a MuleSoft flow and environment. Some examples of Tamr workflows can be found in the following links.
Contact Us
Stig Panduro (stig.panduro@tamr.com), Director, Technology Partnerships and Alliances