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

Course Modality

Instructor-led (classroom)

Course Level

Advanced

Course Time

1 day

Course Language

English

Course Overview

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.

Prerequisites

There are no prerequisites 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

  •   At the end of this workshop, you will have a deeper understanding of how to use            the core capabilities of Azure Batch, understand how to author Custom Pool and Job    templates, work with Job input and output files, author Batch auto-scale                            formulas,leverage Batch Labs and the Azure Portal for management and                          monitoring, and use Marketplace applications to simplify common big compute              tasks, such as 3D rendering.

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Course Curriculum

Whiteboard Design Session – Real-time data with Azure Database for PostgreSQL Hyperscale

Lessons

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

Hands-on Lab – Real-time data with Azure Database for PostgreSQL Hyperscale

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

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