Course 40557-G: Microsoft Cloud Workshop: Cosmos DB Real Time Advanced Analytics

Microsoft

Course 40557-G: Microsoft Cloud Workshop: Cosmos DB Real Time Advanced Analytics

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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.

Audience Profile

This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the “Summary” and “Skills gained” areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.

Prerequisites

Course outline

Module 1: Whiteboard Design Session - Cosmos DB real-time advanced analytics

Module Overview

In this module, you will work in a group to design the data pipeline PoC, you will be better able to implement solutions that leverage the strengths of Cosmos DB in support of advanced analytics solutions that require high throughput ingest, low latency serving and global scale in combination with scalable machine learning, big data and real-time processing capabilities.

Lessons

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on Cosmos DB real-time advanced analytics Whiteboard Design Session.

Module 2: Hands-on Lab - Cosmos DB real-time advanced analytics

Module Overview

In this module, you will implement a PoC of the data pipeline,you will be better able to implement solutions that leverage the strengths of Cosmos DB in support of advanced analytics solutions that require high throughput ingest, low latency serving and global scale in combination with scalable machine learning, big data and real-time processing capabilities.

Lessons

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on Cosmos DB real-time advanced analytics Hands-On Lab.

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