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    • Big Data Analytics and Machine Learning

    • Deploy TensorFlow Machine Learning Model Deployments with Anthos Service Mesh Page

      Deploy a machine learning model using TensorFlow Serving on a Google Kubernetes Engine cluster with Anthos Service Mesh.

    • Configure and Execute Big Data Job on Dataproc on Compute Engine instances Page

      Configure a Cloud Dataproc cluster on Google Compute Engine instances and run a big data job.

    • Configure and Execute Big Data Job on Dataproc on Google Kubernetes Engine Cluster Page
      Configure and run a Big Data job on a Cloud Dataproc cluster on Google Kubernetes Engine.
    • Configure streaming HL7 to FHIR data with healthcare API Page
      Implement Cloud Healthcare API (HCAPI) and Healthcare Data Harmonization tool to stream HL7v2 messages into HCAPI datastores, convert HL7v2 to Fast Healthcare Interoperability Resources (FHIR), and import the FHIR data into BigQuery for analytics.
    • Implement ETL Processing on Google Cloud Using Dataflow and BigQuery Page

      Implement an ETL processing pipeline on Google Cloud platform using Cloud Dataflow and BigQuery.

    • Setup Cloud IAM and Networking for Dataflow Jobs Page

      Configure Cloud Identity and Access Management (IAM) and Cloud Networking for Dataflow jobs on the Google Cloud.

    • Configure Stream Processing with Cloud Pub/Sub and Dataflow Page

      Implement a Google Cloud Dataflow pipeline for stream processing with Cloud PubSub.

    • Scan Content Using Video Intelligence and Vision APIs Page

      Implement a solution for scanning content using Google Cloud Video and Vision Intelligence API, with Cloud Storage and Cloud PubSub.

    • Movie Recommendations with BigQuery ML Page

      Analyze movie recommendations with Google Cloud BigQuery Machine Learning

    • Launch Dataproc Jobs with Cloud Composer Page

      Implement Google Cloud Composer to analyze and secure a Big Data spark job

Distributed CloudMulti Cluster Operation
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