Technologies / Data & Analytics

Microsoft Azure Big Data Analytics Solutions

55224A-1 is a two-day instructor-led course designed for data professionals who want to expand their knowledge of creating big data analytics solutions in Microsoft Azure. Students will learn how to design solutions for batch and real-time data processing. Various methods of using Azure will be discussed and practiced in lab exercises such as Azure CLI, Azure PowerShell and Azure Portal. The 55224A-1 labs and exercises cover the first two objectives of the 70-475 exam (Designing batch, interactive and real-time solutions for Big Data). The other two objectives (Designing machine learning and cloud analytics solutions) are covered in 55224A-2.

Why choose this training?

In today’s rapidly evolving IT landscape, technical competencies have become a critical asset. 55224A-1 is a two-day instructor-led course designed for data professionals who want to expand their knowledge of creating big data analytics solutions in Microsoft Azure.

Upon completion, participants will be able to: Design batch and interactive processing solutions for large data sets (55224A-1), Design real-time processing solutions for large data sets (55224A-1), Design machine learning solutions (55224A-2), Operate complex analytics solutions in the cloud (55224A-2). These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: This course is designed for experienced data professionals who are designing big data analytics solutions in Microsoft Azure service.

What makes our approach unique?

At EITT, we believe the best learning happens through practice. Over 2 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

Benefits

Design batch and interactive processing solutions for large data sets (55224A-1)
Design real-time processing solutions for large data sets (55224A-1)
Design machine learning solutions (55224A-2)
Operate complex analytics solutions in the cloud (55224A-2)

Who is this training for?

This course is designed for experienced data professionals who are designing big data analytics solutions in Microsoft Azure service

Prerequisites

Experience in processing and retrieving aggregate data
Experience in 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).

Training program

This module explains how to load data into Microsoft Azure for batch processing.
Lesson
Downloading data for batch processing
Design for batch processing
Interactive query design
Overview
Lab: Designing batch processing of big data and interactive solutions
Loading data into Microsoft Azure
Preparing data for batch processing
Data query
Upon completion of this module, students will be able to:
Load data into Microsoft Azure
Prepare data for batch processing
Perform data queries

This module explains how to load data into the Microsoft Azure platform for real-time processing.
Lesson
Downloading data for real-time processing
Design for real-time processing
Designing interactive queries for large data sets
Overview
Lab: Designing real-time big data processing solutions
Loading data into Microsoft Azure
Preparing data for real-time event processing
Data visualization
Upon completion of this module, students will be able to:
Load data into Microsoft Azure
Prepare data for real-time event processing
Visualize the data

This module explains how to use machine learning models to automate data analysis.
Lesson
Creating workspaces
Selecting models and query parameters
Publishing network services
Overview
Lab: Designing machine learning solutions
Creating workspaces
Selecting models and query parameters
Publishing network services
Upon completion of this module, students will be able to:
Create and share workspaces
Select models and query parameters
Access machine learning models

This module explains how Azure Data Factory centrally manages data from different sources.
Lesson
Creating a data factory
Data factory management and monitoring
Implement complex solutions using PowerShell
Overview
Lab: Implementing end-to-end analytics solutions in the cloud
Creating a data factory
Data factory management and monitoring
Implement complex solutions using PowerShell
Upon completion of this module, students will be able to:
Create a data factory
Manage and monitor the data factory
Deploy a data factory using PowerShell

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Microsoft Azure Big Data Analytics Solutions we recommend: Experience in processing and retrieving aggregate data; Experience in analyzing real-time and historical data; Experience using SQL and data analysis/visualization tools (e.g., Power BI).

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: This course is designed for experienced data professionals who are designing big data analytics solutions in Microsoft Azure service.