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Technologies / Data & Analytics

Operationalize Cloud Analytics Solutions with Microsoft Azure

552242A 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 operationalize complex analytics solutions in the cloud using Azure Portal and Azure PowerShell. It can be used alone or with 552241A, Microsoft Azure Big Data Analytics, to prepare for Exam 70-475.

Why choose this training?

Modern organizations increasingly need specialists, technical competencies have become a critical asset. 552242A 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: Create a data factory, Organize data processing activities in a data-driven workflow, Monitor and manage the data factory, Transfer, transform or analyze data. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: The course is designed for experienced data professionals who design and develop big data analytics solutions based on the Microsoft Azure platform.

What makes our approach unique?

The EITT approach is based on hands-on experience and practical exercises. 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

  • Create a data factory
  • Organize data processing activities in a data-driven workflow
  • Monitor and manage the data factory
  • Transfer, transform or analyze data
  • Design a deployment strategy for complex solutions using Azure Portal or PowerShell

Who is this training for?

The course is designed for experienced data professionals who design and develop big data analytics solutions based on the Microsoft Azure platform

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 course 552241A).

Training program

01

Operationalizing end-to-end cloud analytics solutions

  • This module explains how Azure Data Factory centrally manages data from different sources.
  • Lessons
  • Creating a data factory
  • Create a data-driven workflow
  • Monitoring and management of the data factory
  • Transferring, transforming and analyzing data
  • Design an implementation strategy for a comprehensive solution
  • Overview
  • Lab: Implementing end-to-end analytics solutions in the cloud
  • Creating a data factory
  • Create a data-driven workflow
  • Monitoring and management of the data factory
  • Transferring, transforming and analyzing data
  • Develop a strategy for implementing a comprehensive solution
  • Upon completion of this module, students will be able to:
  • Create, manage and monitor a data factory
  • Create a data-driven workflow
  • Transfer, transform and analyze data
  • Create a deployment strategy using Azure Portal or PowerShell
02

Appendix B: PowerShell for technology professionals (optional)

  • This module explains how to use PowerShell to administer Azure computers, networks, applications and resources.
  • Lessons
  • Introduction
  • Comparison with other scripting languages
  • Configuring and using PowerShell
  • Create and run scripts
  • Administration of local resources
  • Administration of network resources
  • Troubleshooting PowerShell scripts.
  • Lab: Lab B: Implementing end-to-end analytics solutions in the cloud
  • Using PowerShell to get information about your computer
  • Using PowerShell documentation to understand and use cmdlet commands
  • Create and execute scripts
  • Configuring and testing remote management
  • Create an Azure virtual machine using Azure PowerShell
  • Upon completion of this module, students will be able to use PowerShell to:
  • Using PowerShell to get information about your computer
  • Using PowerShell documentation to understand and use cmdlet commands
  • Create and execute scripts
  • Configure and test remote management
  • Create an Azure virtual machine using Azure 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 Operationalize Cloud Analytics Solutions with Microsoft Azure 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: The course is designed for experienced data professionals who design and develop big data analytics solutions based on the Microsoft Azure platform.

Bożena Machowska-Worek
Bożena Machowska-Worek Opiekun szkolenia

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