552241: Microsoft Azure Big Data Analytics Solutions Training

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

Lessons

• Module Objectives
• Lesson 1: Ingest data for batch processing
• Lesson 2: Design for batch processing
• Lesson 3: Design interactive queries
• Review

Lab 1: Design big data batch processing and interactive solutions

• Exercise 1: Load data into Microsoft Azure
• Exercise 2: Prepare data for batch processing
• Exercise 3: 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

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

Lessons

• Module Objectives
• Lesson 1: Ingest data for Real-Time Processing
• Lesson 2: Designing for Real-Time Processing
• Lesson 3: Design interactive queries for Big Data
• Review

Lab 1: Design Big Data Real-Time Processing Solutions

• Exercise 1: Load data into Microsoft Azure
• Exercise 2: Prepare data for Real-Time Event Processing
• Exercise 3: 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

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:

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

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

• 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

Microsoft Azure Big Data Analytics Training is aimed at professionals who are looking to enhance their skills and knowledge about developing big data analytics solutions on Microsoft Azure.

One of the crucial analytics tools used in Azure is Databricks. Powered by Apache Spark, this polyglot engineer supports the execution of machine learning, data science, and data engineering.

?The answer is Azure Blobs. This is a massively scalable object store for binary and text data that also includes support for data analytics through Data Lake Storage.