Preparación Certificación 70-475: Designing and Implementing Big Data Analytics Solutions

Curso de preparación para el examen 70-475

Acerca de este Curso

El curso se basa en contenido de cursos oficiales de la comunidad de Microsoft.

El Curso para la preparación del examen tiene dos materiales oficiales:

Primer contenido

Module 1: Design big data batch processing and interactive solutions (552241A)

This module explains how to load data into Microsoft Azure for batch processing.

Lessons

• Ingest data for batch processing
• Design for batch processing
• Design interactive queries
• Review

Lab 1: Design big data batch processing and interactive solutions

• Load data into Microsoft Azure
• Prepare data for batch processing
• Query the data

After completing this module, students will be able to:

• Load data into Microsoft Azure
• Prepare data for batch processing
• Query the data

Module 2: Design Big Data Real-Time Processing Solutions (552241A)

This module explains how to load data into Microsoft Azure for real-time processing.

Lessons

• Ingest data for Real-Time Processing
• Designing for Real-Time Processing
• Design interactive queries for Big Data
• Review

Lab 1: Design Big Data Real-Time Processing Solutions

• Load data into Microsoft Azure
• Prepare data for Real-Time Event Processing
• Visualize the Data

After completing this module, students will be able to:

• Load data into Microsoft Azure
• Prepare data for real-time event processing
• Visualize the data

Module 3: Operationalize end-to-end cloud analytics solutions (552242A)

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 1: 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 PowerShell

Module 4: PowerShell for Technology Professionals (552241A 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 1: 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

Segundo contenido

Module 1: Operationalize end-to-end cloud analytics solutions

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

Lessons

• Module Objectives
• Lesson 1: Create a data factory
• Lesson 2: Create a data-driven workflow
• Lesson 3: Monitor and Manage the data factory
• Lesson 4: Move, Transform and Analyze Data
• Lesson 5: Design a deployment strategy for an end-to-end solution
• Review

Lab 1: Operationalize end-to-end cloud analytics solutions

• Exercise 1: Create a data factory
• Exercise 2: Create a data-driven workflow
• Exercise 3: Monitor and Manage the data factory
• Exercise 4: Move, Transform and Analyze Data
• Exercise 5: 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

Module 2: 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 1: Lab B: Operationalize end-to-end cloud analytics solutions

• Exercise 1: Use PowerShell to get Computer Information
• Exercise 2: Use PowerShell documentation to understand and use cmdlets
• Exercise 3: Create and execute scripts
• Exercise 4: Configure and test Remote Management
• Exercise 5: 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