Big Data
Big Data Analytics and Machine Learning
Deploy a machine learning model using TensorFlow Serving on a Google Kubernetes Engine cluster with Anthos Service Mesh.
Configure a Cloud Dataproc cluster on Google Compute Engine instances and run a big data job.
- Configure and run a Big Data job on a Cloud Dataproc cluster on Google Kubernetes Engine.
- 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 an ETL processing pipeline on Google Cloud platform using Cloud Dataflow and BigQuery.
Configure Cloud Identity and Access Management (IAM) and Cloud Networking for Dataflow jobs on the Google Cloud.
Implement a Google Cloud Dataflow pipeline for stream processing with Cloud PubSub.
Implement a solution for scanning content using Google Cloud Video and Vision Intelligence API, with Cloud Storage and Cloud PubSub.
Analyze movie recommendations with Google Cloud BigQuery Machine Learning
Implement Google Cloud Composer to analyze and secure a Big Data spark job