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Section 1: Introduction to Modern Databases

Foundations of Modern Databases

Understanding Relational Databases

Exploring NoSQL Databases

Section 2: Fundamentals of Data Engineering

Introduction to Data Engineering

The Stages of a Basic Data Pipeline

Section 3: Querying and Retrieving Data

Introduction to Data Querying

Basic Tools for Data Retrieval

Section 4: Cloud-Based Data Infrastructure

Cloud Data Storage Concepts

Processing Large Datasets in the Cloud

Section 5: Quizzes

Quiz 1: Modern Databases Knowledge Check

Quiz 2: Data Engineering Fundamentals Quiz

Quiz 3: Data Querying and Retrieval Quiz

Quiz 4: Cloud-Based Data Infrastructure Quiz

Quiz 5: Final Course Review Quiz

Section 6: Course Feedback

Post-Course Evaluation Survey

Welcome to "Foundations of Data Engineering and Modern Database Systems," your comprehensive starting point for understanding the backbone of today's data-driven world. In an era where data is the most valuable asset for businesses, knowing how to store, process, and retrieve it is a highly sought-after skill.

Welcome to "Foundations of Data Engineering and Modern Database Systems," your comprehensive starting point for understanding the backbone of today's data-driven world. In an era where data is the most valuable asset for businesses, knowing how to store, process, and retrieve it is a highly sought-after skill. This course is meticulously designed to demystify the complex world of data engineering, taking you from the basic concepts of modern databases to the scalable architectures of cloud-based data infrastructure. 

Throughout this journey, you will explore the fundamental differences between traditional file systems and modern database management systems, diving deep into both Relational (RDBMS) and NoSQL databases. You will learn the critical role of a data engineer and how they build robust Extract, Transform, Load (ETL) pipelines to ensure data is reliable and ready for analysis. Furthermore, we will equip you with essential querying skills using Structured Query Language (SQL), enabling you to interact with databases and extract actionable business intelligence. 

Finally, the course will guide you through the modern cloud landscape, explaining key concepts like Cloud Data Warehouses, Data Lakes, and how cloud computing allows data pipelines to scale dynamically. Whether you are an aspiring data professional, a business analyst looking to deepen your technical knowledge, or a software developer transitioning into data engineering, this course provides the foundational knowledge you need to succeed. Join us to unlock the power of data engineering and take the first step toward mastering modern database systems!

Foundations of Data Engineering and Modern Database Systems

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            <p>In the contemporary digital landscape, the ability to efficiently store, manage, and process vast amounts of information is paramount for organizational success. "Foundations of Data Engineering and Modern Database Systems" provides a comprehensive exploration of the critical infrastructure and methodologies that underpin data-driven decision-making. As data continues to grow in volume and complexity, understanding the architectural differences between traditional file systems and modern database management systems—including both relational and NoSQL models—becomes essential. This course establishes a robust theoretical and practical foundation, detailing how these storage layers serve as the bedrock for advanced analytics and business intelligence.</p>

<p>Progressing beyond fundamental storage concepts, the curriculum delves into the core principles of data engineering and the mechanics of data pipelines. Learners will examine the Extract, Transform, and Load (ETL) processes that ensure data reliability and accessibility, distinguishing the specialized responsibilities of data engineers from those of data scientists and analysts. Furthermore, the course addresses the practical aspects of data retrieval using Structured Query Language (SQL) and modern analytics tools. Finally, the syllabus transitions into cloud-based data infrastructure, offering an in-depth analysis of cloud data warehouses, data lakes, and the scalable services that facilitate the processing of large datasets in modern enterprise environments. Through structured modules and rigorous knowledge checks, participants will acquire a holistic understanding of the modern data ecosystem.</p>
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