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Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.
Cloud Healthcare API documentation
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A data mesh is an architectural and organizational framework which treats data as a product (referred to in this document as "data products"). In this framework, data products are developed by the teams that best understand that data, and who follow an organization-wide set of data governance standards.
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Consume Data from any consumer devices
The Cloud Identity Devices API lets you create and manage different types of devices within your organization. Supported devices include Android, iOS (With Fundamental, Basic or Advanced management) and desktop devices, including those with Enhanced Desktop Security for Windows, Endpoint Verification, or Drive File Stream.
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Quest | Access Code (1,000 Credits) |
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Cloud Healthcare API | Link |
Get Started with Dataplex | Link |
Build a Data Mesh with Dataplex | Link |
Create a Secure Data Lake on Cloud Storage | Link |