Operationalize Cloud Analytics Solutions with Microsoft Azure Course Overview

Operationalize Cloud Analytics Solutions with Microsoft Azure Course Overview

The Operationalize Cloud Analytics Solutions with Microsoft Azure course is designed to equip learners with the essential skills to implement and manage end-to-end cloud analytics solutions using Azure services. This course focuses on creating and operationalizing data processing workflows, ensuring that learners can manage data factories, monitor data pipelines, and deploy comprehensive cloud analytics solutions.

Module 1 delves into the practical aspects of building data factories, orchestrating data-driven workflows, and maintaining the health of these processes. It also covers techniques for data movement, transformation, and analysis, and concludes with strategies for deploying analytics solutions effectively.

Module 2, as an optional appendix, introduces PowerShell and its comparison to other scripting languages, guiding technology professionals on how to configure, utilize, and troubleshoot PowerShell scripts, which is essential for automating tasks in Azure.

By completing this course, learners will gain valuable insights into Azure's analytics services, empowering them to build scalable and efficient cloud analytics solutions that can drive business insights and value.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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Course Prerequisites

Certainly! For students interested in the "Operationalize Cloud Analytics Solutions with Microsoft Azure" course, the following are the minimum required prerequisites:


  • Basic understanding of data storage and data processing concepts.
  • Familiarity with cloud computing and the core services of Microsoft Azure, particularly Azure Data Factory.
  • Experience with general data processing tasks and workflows.
  • Basic knowledge of SQL and working with relational databases.
  • An understanding of PowerShell is beneficial but not mandatory, as an optional module is provided for technology professionals.
  • Willingness to learn new technologies and apply them to solve data analytics challenges.

These prerequisites are designed to ensure that students have the foundational knowledge necessary to grasp the concepts taught in the course and can follow along with the hands-on exercises. If you meet these requirements, you should be well-prepared to take full advantage of the training provided.


Target Audience for Operationalize Cloud Analytics Solutions with Microsoft Azure

  1. The course focuses on implementing cloud analytics solutions using Microsoft Azure, targeting IT professionals with a focus on data management.


  2. Target audience for the course:


    • Data Engineers
    • Cloud Solutions Architects
    • Azure Data Factory Developers
    • Business Intelligence Professionals
    • IT Professionals interested in cloud-based analytics
    • DevOps Engineers focusing on data deployment strategies
    • Data Scientists seeking to operationalize data workflows
    • Data Analysts aiming to upscale to cloud analytics
    • Technical Project Managers overseeing data projects
    • Database Administrators moving to cloud platforms
    • System Administrators interested in PowerShell scripting
    • IT Operations Staff responsible for monitoring data solutions
    • Professionals preparing for Azure certification exams


Learning Objectives - What you will Learn in this Operationalize Cloud Analytics Solutions with Microsoft Azure?

Introduction to Course Learning Outcomes and Concepts:

In this course, participants will learn to operationalize end-to-end cloud analytics solutions on Microsoft Azure, mastering data management, processing, and analysis using Azure's Data Factory and related services.

Learning Objectives and Outcomes:

  • Understand how to create and configure Azure Data Factory instances to orchestrate data workflows.
  • Learn to implement data-driven workflows to automate data movement and transformation.
  • Gain skills to monitor, manage, and troubleshoot Azure Data Factory pipelines.
  • Develop proficiency in moving, transforming, and analyzing data within the Azure cloud platform.
  • Design effective deployment strategies for reliable, scalable end-to-end cloud analytics solutions.
  • Review and reinforce knowledge through practical exercises and discussions.
  • Grasp the operationalization of cloud analytics solutions, ensuring they are efficient and ready for production.
  • Acquire knowledge of PowerShell fundamentals for enhanced automation and administration in Azure.
  • Learn to compare PowerShell with other scripting languages and understand its advantages in cloud operations.
  • Troubleshoot and resolve common issues encountered when running PowerShell scripts in cloud analytics scenarios.