552242: Operationalize Cloud Analytics Solutions with Microsoft Azure

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Two-day instructor-led course intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure.

Students will learn how to operationalize end-to-end cloud analytics solutions using the Azure Portal and Azure PowerShell.  It can be used on its own or with 552241A, Microsoft Azure Big Data Analytics, to prepare for exam 70-475.

After completing this course, students will be able to:

  • Create a Data Factory
  • Orchestrate data processing activities in a data-driven workflow
  • Monitor and Manage a Data Factory
  • Move, Transform or Analyze data
  • Design a deployment strategy for end-to-end solutions with Azure Portal or PowerShell

Destinatários

This course is intended for experienced data professionals who design and build big data analytics solutions on Microsoft Azure.

Pré-Requisitos

Before attending this course, students must have:

  • Experience processing and querying bulk data
  • Experience analyzing real-time and historical data
  • Experience using SQL and data analysis / visualization tools (e.g. Power BI)
  • Experience using PowerShell (Note: A basic PowerShell tutorial is included in 552241.)

Programa

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
  • Review

Lab : Operationalize end-to-end cloud analytics solutions

PowerShell for Technology Professionals 

  • 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 : Lab B: Operationalize end-to-end cloud analytics solutions

Operationalize end-to-end cloud analytics solutions

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

Lessons

  • 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
  • Review

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:

  • Create, Manage & Monitor a data factory
  • Create a data driven workflow
  • Move, Transform and Analyze Data
  • Create a deployment strategy using the Azure Portal or PowerShell

Appendix B: PowerShell for Technology Professionals (Optional)

This module explains how to use PowerShell to administer computer, network, application and Azure resources.

Lessons

  • 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 : Lab B: 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:

  • 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
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552242: Operationalize Cloud Analytics Solutions with Microsoft Azure

Base de Dados | 14h - Laboral: 09h30 - 17h30


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