In this workshop, students will begin by deploying a highly scalable, cloud-native, fully managed SingleStore relational database cluster on AWS. 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, leverage Amazon Glue with SingleStore Spark Connector, Amazon S3, Amazon SageMaker and operationalize an AI/ML model. We will conclude the session by demonstrating how to build an operational dashboard using Looker.
Introductions and workshop overview; SingleStore and AWS - 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 AWS 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 an AI/ML model, and build a Fast Dashboard. There will be an opportunity to work with SingleStore, AWS and Looker experts throughout the session. We will conclude with Q&A.