Apache Cassandra for Architect and Data Engineer
Have you ever wondered what it takes to design a distributed data processing solution? Some of the main considerations include choosing compute infrastructure, databases, message brokers, message queues, microservices, serverless functions, APIs, and so forth. In this workshop, we focus on choosing and designing a solution architecture from individual components. As a running example and hands-on project, we build a natural language processing system with Cassandra, Pulsar, Keras, TensorFlow, Fast API and Python.
⏲️ Duration : 8 hours, 🎓 Level Beginner to Intermediate
📋 Table of contents
| Time | Session |
|---|---|
| 08:30 - 09:00 | Keynote and HouseKeeping |
| 09:00 - 09:45 | Solution Architecture |
| 09:45 - 10:00 | Break |
| 10:00 - 10:45 | Storage in Cassandra |
| 10:45 - 11:00 | Break |
| 11:00 - 12:00 | Event Streaming and Cdc |
| 12:00 - 01:00 | Lunch |
| 01:00 - 02:00 | Machine Learning |
| 02:00 - 02:15 | Break |
| 02:15 - 03:00 | MicroService Apis |
| 03:00 - 03:15 | Break |
| 03:15 - 04:00 | ML Ops and Production considerations |
| 04:00 - 04:30 | Post-workshop finale |