Course 552241-A: Microsoft Azure Big Data Analytics Solutions

Microsoft

Course 552241-A: Microsoft Azure Big Data Analytics Solutions

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552241A is a two-day instructor-led course is intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure. Students will learn how to design solutions for batch and real-time data processing. Different methods of using Azure will be discussed and practiced in lab exercises, such as Azure CLI, Azure PowerShell and Azure Portal. 552241A labs and exercises will cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive & real-time solutions). The other objective (Operationalize end-to-end cloud analytics solutions) is covered in 552242A.

Audience Profile

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

Prerequisites

Course outline

Module 1: Design big data batch processing and interactive solutions

Module Overview

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

Lab Sessions

Design big data batch processing and interactive solutions

Lab Lessons

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

Module Overview

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

Lab Sessions

Design Big Data Real-Time Processing Solutions

Lab Lessons

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

Module Overview

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

Lab Sessions

Operationalize end-to-end cloud analytics solutions

Lab 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

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

Module Overview

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 Sessions

Operationalize end-to-end cloud analytics solutions

Lab Lessons

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.

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