EIEIOTECHNOVATION
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EIEIO / DATA SCIENCE

Microsoft Azure Big Data Analytics Solutions Operationalize Cloud Analytics Solutions with Microsoft Azure

Course outline

3 days

Overview

Both Courses combinedly is of 3 days and 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 Azure CLI, Azure

PowerShell and Azure Portal.

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

Lesson 3: Design interactive queries

Review

Lab : 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 use PowerShell 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

Module Objectives

Course Outline ::55224::

Lesson 3: Design interactive queries for Big Data

Review

Lab : 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 use PowerShell 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

Lesson 5: Design a deployment strategy for an end-to-end solution

Review

Lab : 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

Programme scope, delivery arrangements and suitability are confirmed during enquiry.