Description

This instructor-led course is designed for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure. Professionals will learn how to design solutions for batch and real-time data processing. Various ways of using Azure will be discussed and practiced in lab exercises, including Azure CLI, Azure PowerShell and Azure Portal.
The labs and exercises will cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive & real-time solutions). 

 

 

Radiant Techlearning offers Microsoft Azure Big Data Analytics Solutions training program in Classroom & Virtual Instructor Led / online mode.

 

 

Duration: 2 Days 

 

 

Learning Objectives

After completing this course, professionals will be proficient in:

  • Designing big data batch processing and interactive solutions
  • Designing big data real-time processing solutions

Pre-requisites

Before attending this course, professionals should have:

  • 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

 

Audience Profile

This course is designed for veteran data professionals interested in designing big data analytics solutions on Microsoft Azure.

Course Content

Module 1: Designing interactive solutions and big data batch processing  

This section discusses about 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 : Design interactive solutions and big data batch processing
    • Exercise 1: Load data into Microsoft Azure
    • Exercise 2: Prepare data for batch processing
    • Exercise 3: Query the data

 

Module 2: Design Big Data Real-Time Processing Solutions 

This section discusses about 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 : Designing 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

 

Module 3: Operationalize end-to-end cloud analytics solutions

This section discusses 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 : 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

 

Module 4: PowerShell for Technology Professionals (Optional)

This section discusses about the use of 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 : 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

 

Additional Reading: 

Operationalize Cloud Analytics Solutions with Microsoft Azure course

 

FAQs

Q: What is Azure data analytics?

 

A: Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data. Easily develop and run massively parallel data transformation and processing programmes in U-SQL, R, Python, etc. With no infrastructure to manage, user can process data on demand, scale instantly and only pay per job.

 

Q: What are the key capabilities of Microsoft Azure Data Lake Analytics?

 

A: Key features from Microsoft’s Azure Data Lake are listed below:-

  • True HDFS Compatibility. 
  • Unlimited Data Size. 
  • Fault-Tolerant and Available. 
  • Designed for Parallel Processing. 
  • Optimized for High-Speed Throughput.
  • Enabling Hadoop for the Cloud.

 

Q: What is big data analytics used for?

 

A: Big Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences. Big Data analytics provides various advantages. It can be used for better decision making, preventing fraudulent activities, among other things.

 

Q: Does big data require coding?

 

A: You need to code to conduct numerical and statistical analysis with massive data sets. Some of the languages that user should invest time and money in learning are Python, R, Java, and C++ among others. Finally, being able to think like a programmer will help will become good for big data analyst.

 

Q: What if I miss a class on a particular day?

 

A: We would always recommend you to attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, if due to some contingency if you have to skip the class Radiant Techlearning would help you with the recorded session of that particular day.  However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.

 

Q: How I will be accessing the labs?

 

A: Radiant Techlearning has a data center containing the Virtual Training environment for the purpose of participant’s hand-on-practice. 

Participants can easily access these labs over Cloud with the help of remote desktop connection. 

Radiant virtual labs provides you the flexibility to learn from anywhere in the world and in any time zone. 

 

Q: What kind of projects are included as a part of training?

 

A: The learners will be enthralled as we engage them the real world and industry Oriented projects during the training program. These projects will improve your skills and knowledge and you will gain better experience. These real time projects, they will help you a lot in your future tasks and assignments.

 

Q: How is the Radiant Techlearning verified certificate awarded?

 

A: Radiant awards course completion certificate to all the participants who have completed the training program which includes various real time projects, assignments, quizzes and some other tasks.  Once the course is done you would be assigned with a project which you would have to submit in 2 weeks’ time. 

Radiant Techlearning experts will be evaluating the project on various parameter. To be eligible for the verified certificate you would have to score more than 60% marks. 

Only after completion of these criteria you would be awarded with Radiant verified certificate and which the participants can use for their future job purpose. 

Participants will be awarded with grades according to the following criteria:

90% – 100% – AAA+

80% – 90% – AA+

70% – 80% – A+

60% – 70% – A

 

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