In this workshop, students will begin by deploying a highly scalable, cloud-native, fully managed SingleStore relational database cluster on Google Cloud. You will then implement 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.
Introductions and workshop overview; SingleStore and Google Cloud - 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 seamlessly deploy fully managed SingleStore on Google Cloud and implement an AI/ML usage case. During the hands-on session, students will learn how to ingest streaming data and build ETL processes, operationalize a ML model, and build a Looker Dashboard. There will be an opportunity to work with SingleStore, Google Cloud and Looker experts throughout the session. We will conclude with Q & A.