In this workshop, students will learn to deploy a highly scalable, cloud-native, fully managed SingleStore relational database cluster on Google Cloud. Students will see an example AI/ML use case and run real-time analytical queries against it with SingleStore.
We will then demonstrate to you how to ingest streaming data, Google Cloud DataFlow (ETL), Cloud Storage, Pub/Sub and operationalizing AI/ML models. We will conclude the session by demonstrating how to build an operational dashboard using Looker.
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SingleStore and GCP - Creating a real-time database architecture; application and analytic architectural patterns leveraging SingleStore as the “Always On - Operational Database” for analytics with an SLA.
Students will learn to deploy Fully Managed SingleStore on Google Cloud and implement an AI/ML usage case. During the session, students will learn how to ingest streaming data and build ETL processes, operationalize a ML model, and build a Looker Dashboard. We will conclude with Q & A.