Remove Knowledge Discovery Remove Metadata Remove Testing
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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. Knowledge Graphs are the Warp and Weft of a Data Fabric. This provides a solid foundation for efficient data integration.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

The training is structured to follow the steps of building a simple prototype to test the feasibility of the technology with hands-on guidance by experienced instructors. The answers to these questions are presented in the course of week-long, self-paced sessions and a 4.5-hour hour live online practice session.

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Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

We recommend testing your use case and data with different models. The best way to determine the best parameters for a specific use case is to prototype and test. Test the solution In this demo, we can initiate the workflow by uploading documents to the raw prefix.

Data Lake 100
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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

The training is structured to follow the steps of building a simple prototype to test the feasibility of the technology with hands-on guidance by experienced instructors. The answers to these questions are presented in the course of week-long, self-paced sessions and a 4.5-hour hour live online practice session.

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Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success

Ontotext

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. This includes working with Subject Matter Experts to prioritize business objectives and build use case relationships.