A Microservices Framework for Real Time Model Scoring aUsing Structured Streaming with Vedant Jain

Open-source technologies allow developers to build microservices framework to build myriad real-time applications. One such application is building the real-time model scoring. In this session, we will showcase how to architect a microservice framework, in particular how to use it to build a low-latency, real-time model scoring system. At the core of the architecture lies Apache Spark's Structured Streaming capability to deliver low-latency predictions coupled with Docker and Flask as additional open source tools for model service. In this session, you will walk away with: * Knowledge of enterprise-grade model as a service * Streaming architecture design principles enabling real-time machine learning * Key concepts and building blocks for real-time model scoring * Real-time and production use cases across industries, such as IIOT, predictive maintenance, fraud detection, sepsis etc.

About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.

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[masteronepiece]

Great Channel but come on !!! *Upload some tutorial on using Databricks for beginner and intermediate and Experts*.