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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 508 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 enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

This is my second class with this Tech Data ExitCertified Personnel. I learned so much in BigFix Foundations and BigFix Inventory. Very well organized training instructors and well organized course contents and labs. I am glad I have attended.

Instructor was very knowledgeable and provided instructions worked well in the virtual labs and zoom sessions.

Awesome training and trainers! Clear, straight to the point and extremely knowledgeable...

Labs were well organized, instructions were clear.

Instructor was knowledgeable and helpful.

Great Class and Chris was a very knowledgeable instructor. Hoping it prepped me well enough for upcoming exam!

2 options available

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  • Sep 24, 2020 Sep 25, 2020 (2 days)
    Location
    Virtual
    Language
    English
    Time
    09:00 18:00 EST
    Enroll
    Enroll
  • Jan 28, 2021 Jan 29, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    09:00 18:00 EST
    Enroll
    Enroll
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