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Course Description

In this workshop, you will learn to design a data pipeline solution that leverages Cosmos DB for both the scalable ingest of streaming data, and the globally distributed serving of both pre-scored data and machine learning models. The solution leverages the Cosmos DB change data feed in concert with the Azure Databricks Delta to enable a modern data warehouse solution that can be used to create risk reduction solutions for scoring transactions for fraud in an offline, batch approach and in a near real-time, request/response approach.

Course Outline

Lessons

  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution

Lessons

  • Collecting streaming transaction data
  • Understanding and preparing the transaction data at scale
  • Creating and evaluating fraud models
  • Scaling globally
  • Reporting