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Microsoft

Course 40529-G: Microsoft Cloud Workshop: High Performance Computing

  • Duration: 1 days
  • Job Role: Developer

Course 40529-G: Microsoft Cloud Workshop: High Performance Computing

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In this workshop, you will setup and configure a scale-out media processing architecture using Azure Batch. You'll discover how to use big compute (scale out compute, embarrassingly parallel processing) techniques without having to write a lot of code, and learn how these tasks can be accomplished declaratively.

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

  • Knowledge of cloud computing.

Course outline

Module 1: Whiteboard Design Session - Real-time data with Azure Database for PostgreSQL Hyperscale
Module Overview

In this module, you will work with a group to design a scale-out media processing solution using High Performance Computing (HPC) techniques in Azure. At the end of this module, you will be better able to design and recommend High Performance Computing solutions that are highly scalable and can be configured through declarative means as opposed to large amounts of complicated application code. You will also learn how to manage and monitor these solutions to ensure predictable outcomes effectively.

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:

Understanding of how to use the core capabilities of Azure Batch.
Understand how to author Custom Pool and Job templates.
Understand how to author Batch auto-scale formulas.
Understand how to leverage Batch Labs and the Azure Portal for management and monitoring.

Module 2: Hands-on Lab - Real-time data with Azure Database for PostgreSQL Hyperscale
Module Overview

In this module, you will implement High Performance Computing (HPC) workloads targeted at 3D rendering and media processing in Azure using Azure Batch and Azure Storage. At the end of this module, you will be better able to deploy Azure Batch and an Azure Batch Pool consisting of Linux Virtual Machines. You will be able to configure the pool of VMs to run the FFmpeg app to process videos across the VM nodes in the pool. You will be able to do this using Batch templates and files, which enable you to perform scale-out execution of command-line executables (in this case FFmpeg) without having to write any code.

Lessons

Connect to and set up your database
Add secrets to Key Vault and configure Azure Databricks
Send clickstream data to Kafka and process it in real time
Rollup real-time data in PostgreSQL
Create advanced visualizations in Power BI

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

How to work with Job input and output files.
How to use Marketplace applications to simplify common big compute tasks, such as 3D rendering.

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