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Microsoft Cloud Workshop: Line-of-business application migration

Codice corso: 40558G
Durata corso: 1gg

Introduzione

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.

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.

Obiettivi del corso

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.

Struttura del Corso

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

P.IVA 06249920965
C.C.I.A.A. REA: MI - 1880014
Cap. Soc. € 12.000,00

Contatti

V.le P.A. Pirelli 6,20126 Milano
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Tel.: +39 02 694 382 64
Fax.: +39 02 694 382 35

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