Azure Data Engineer - Part 1: Understand the Evolving World of Data

Join us in this weekly series and learn how to become an Azure Data Engineer, how to integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.

Responsibilities for this role include helping stakeholders understand the data through exploration, building, and maintaining secure and compliant data processing pipelines by using different tools and techniques. You will learn how to use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.

An Azure Data Engineer also helps ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints. This professional deals with unanticipated issues swiftly and minimizes data loss. An Azure Data Engineer also designs, implements, monitors, and optimizes data platforms to meet the data pipeline needs.

In each week, we will cover a different module towards the full learning path, which will prepare you for the Azure Data Engineer Associate certification (https://docs.microsoft.com/en-us/learn/certifications/azure-data-engineer/) as well as for the real world.

A candidate for this certification must have a solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns. Specifically, you should have the knowledge equivalent to the Azure Data Fundamentals certification.

All sessions are recorded, and the entire series can be found here: https://bit.ly/Azure-Data-Engineer-certificate.

This is part 1: Understand the Evolving World of Data. In this module, we will learn how data systems are evolving and how the changes affect data professionals. We will explore the differences between on-premises and cloud data solutions, and consider sample business cases that apply cloud technologies.

In this module you will:

• Learn which key factors are driving changes in data generation, roles, and technologies.

• Compare on-premises data technologies to cloud data technologies.

• Outline how the role of the data professional is changing.

• Identify use cases that apply these changes.

Link to the relevant module in Microsoft Learn: https://docs.microsoft.com/en-us/learn/modules/evolving-world-of-data/

Agenda:

• 17:00-17:15 - Opening, Announcements, and More...

• 17:15-18:15 - Session

• 18:15-18:30 - Q&A and Open Discussion