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

Course Modality

Instructor-led (classroom)

Course Level

Advanced

Course Time

1 day

Course Language

English

Course Overview

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.

Prerequisites

There are no prequisites for this course.

Intended Audience

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 ‘About this Course’ and ‘At Course Completion’ 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.

Why The DataTech Labs ?

Self-Paced Online Video

A 360-degree learning approach that you can adapt to your learning style

A 360-degree learning

Engage and learn more with these live and highly-interactive classes alongside your peers

24/7 Teaching Assistance

24/7 Teaching Assistance Keep engaged with integrated teaching

Online Practice Labs

Projects provide you with sample work to show prospective employers.

Applied Projects

Real-world projects relevant to what you’re learning throughout the program

Learner Social Forums

A support team focused on helping you succeed alongside a peer community

Skill Covered

After completing this module, students will be 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.

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Course Curriculum

Module 1

Whiteboard Design Session – Cosmos DB real-time advanced analytics

Lessons

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

Module 2

Hands-on Lab – Cosmos DB real-time advanced analytics

Lessons

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

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