Microsoft Azure Big Data Analytics Solutions is a two-day instructor-led course intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure. You 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.
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 this course.
Duration Learning Credits
2 days – 16 hours of 16 PDU’s
Session
Public Classroom Pricing:
Early Bird Price: AUD 1295.00
Regular Price: AUD 1495.00
Instructor-Led Virtual Live Pricing:
Early Bird Price: AUD 995.00
Regular Price: AUD 1195.00
Private Group/ In-House Learning:
Have a group of 3 or more people?
Register yourself with a special pricing and
request the training exclusively
Module 1: Design big data batch processing and interactive solutions
● Module Objectives
● Lesson 1: Ingest data for batch processing
● Lesson 2: Design for batch processing
● 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
● 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: 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
● 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: 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
● Create a data driven workflow
● Move, Transform and Analyze Data
● Create a deployment strategy using PowerShell
Module 4: 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: 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:
● 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
This course is intended for experienced data professionals who design big data analytics solutions on Microsoft Azure.
After the training you will be able to:
● Design big data batch processing and interactive solutions
● Design big data real-time processing solutions
● Operationalize end-to-end cloud analytics solutions