552242: Operationalize Cloud Analytics Solutions with Microsoft Azure Training

552242: Operationalize Cloud Analytics Solutions with Microsoft Azure Training helps professionals evolve their knowledge about building big data analytics solutions on Microsoft Azure to the next level. This technical course provides a comprehensive understanding of common architectures for big data with the help of Azure tools and services. Trainees will learn the techniques to include custom functions and machine learning operations into an Azure Stream Analytics job. It also teaches to utilize Azure SQL Data Warehouse to build a repository that can support huge scale analytical functioning across data at rest. This training program is suitable for data engineers who plan to apply big data engineering workflows on Azure. From creating and deploying custom operations to utilize Azure Data Factory, this program covers all essential concepts.

This training is designed based on the objectives of the course variant 552242A

• Building a Data Factory
• Orchestrating data processing activities in a data-driven workflow
• Monitoring and Managing a Data Factory
• Moving, Transforming or Analyzing data
• Designing a deployment strategy for end-to-end solutions with Azure PowerShell or Portal.

This training is aimed at data professionals who have experience in designing big data analytics solutions on Microsoft Azure.

• 1. Operationalize end-to-end cloud analytics solutions

This module explains how to Azure Data Factory to centrally manage data from different sources.

• Create a data factory
• Create a data-driven workflow
• Monitor and Manage the data factory
• Move, Transform and Analyze Data
• Design a deployment strategy for an end-to-end solution

Lab: Operationalize end-to-end cloud analytics solutions

• Create a data factory
• Create a data-driven workflow
• Monitor and Manage the data factory
• Move, Transform and Analyze Data
• Design a deployment strategy for an end-to-end solution

After completing this module, students will be able to:

• Use Powershell to Create, Manage & Monitor a data factory
• Use Powershell to create a data driven workflow
• Use Powershell to Move, Transform and Analyze Data
• Use Powershell to create a deployment strategy using PowerShell
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2. PowerShell for Technology Professionals (Optional)
This module explains how to use PowerShell to administer computer, network, application and Azure resources.
Introduction
Compared to Other Scripting Languages
Configuring and Using PowerShell
Creating and Running Scripts
Administering Local Resources
Administering Network Resources
Resolve PowerShell Scripting Problems.
Lab: Operationalize end-to-end cloud analytics solutions
Use PowerShell to get Computer Information
Use PowerShell documentation to understand and use cmdlets
Create and execute scripts
Configure and test Remote Management
Create and Azure VM with Azure PowerShell
After completing this module, students will be able to:
Use PowerShell to get Computer Information
Use PowerShell documentation to understand and use cmdlets
Create and execute scripts
Configure and test Remote Management
Create and Azure VM with Azure PowerShell