Introduction to Data Roles and Cloud Data Services

The modern data landscape is vast, filled with various job titles and a complex ecosystem of database technologies. Understanding how these roles and services interact is the essential first step to launching a career in data or managing data-driven projects. This text-based course demystifies the data industry by breaking down key professional responsibilities and cloud technologies. You will gain a clear map of how data flows from collection to analysis, enabling you to speak the language of data teams and choose the right tools for your organizational needs. What you'll learn: Compare the day-to-day responsibilities of data analysts, data engineers, database administrators, and data scientists; Identify the differences between structured, semi-structured, and unstructured data formats; Explore the use cases for relational, non-relational, and vector databases in modern applications; Understand the flow of data through ingestion, processing, storage, and visualization pipelines; Analyze cloud-native data warehousing and lakehouse architectures; Apply ethical data handling and basic data governance principles to real-world scenarios. You will start by learning foundational definitions and the core distinctions between different data roles. From there, you will transition into cloud-based data storage and processing services, exploring how modern pipelines operate through written explanations and practical conceptual exercises. Designed entirely for beginners, this course requires no prior technical background or programming experience. Begin your journey into the world of modern data systems today.