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Microsoft Azure Big Data Analytics Solutions

  • Tuition USD $1,391 Save $155
  • Reviews star_rate star_rate star_rate star_rate star_half 1527 Ratings
  • Course Code 552241
  • Duration 2 days
  • Available Formats Classroom, Virtual

552241A is a two-day instructor-led course that 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, Azure Portal, Azure Cloud Shell and Python.

552241A labs and exercises will cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive and real-time solutions). The other objective (Operationalize end-to-end cloud analytics solutions) is covered in 552242A.

Skills Gained

  • Design big data batch processing and interactive solutions (552241A)
  • Design big data real-time processing solutions (552241A)
  • Operationalize end-to-end cloud analytics solutions (552242A)
  • Design big data batch processing and interactive solutions
  • Design big data real-time processing solutions
  • Design Machine Learning solutions
  • Operationalize end-to-end cloud analytics solutions

Who Can Benefit

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

Prerequisites

  • Experience processing and querying bulk data
  • Experience analyzing real-time and historical data
  • Experience using SQL and data analysis / visualization tools (e.g. Power BI)
  • Experience using PowerShell (Note: A basic PowerShell tutorial is included in the course.)

Course Details

Outline


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

  • 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

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
  • 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

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
  • 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

Module 4: Appendix B: 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
  • 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

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Classromm confortable and enviroment. Instructir knowlegeable of course matarial but need to align to students working in the Canadian Federal Govt. ve US Federal govt.

Very informative and lots of information covered. Overall great information to use on the job.

Content is consistent with the class you enroll in. Instructor was thorough and engaging.

Very good training. Remote mode makes it a little bit harder at the beginning. All went well after warm-up

Instructor, Training material & span of the training is neatly planned.

2 options available

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  • Feb 25, 2021 Feb 26, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    09:00 18:00 EST
    Enroll
    Enroll
  • May 20, 2021 May 21, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    09:00 18:00 EST
    Enroll
    Enroll
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