Data engineering is the foundational process of collecting, transforming, and delivering data to enable data-driven decision-making. Data engineers design and maintain the infrastructure and systems that make data accessible, reliable, and ready for analysis. They work with databases, data pipelines, ETL (Extract, Transform, Load) processes, and big data technologies to ensure that organizations have a solid data foundation for business intelligence, analytics, and machine learning. Data engineering plays a critical role in turning raw data into valuable insights, driving innovation, and supporting informed business strategies.

This course is designed to help you if:

1. You are starting with zero knowledge of data engineering but want to build a career in this exciting and high-demand field.
2. You have no prior experience in data integration, storage, or processing but are eager to learn and excel in these areas.
3. You want to begin by mastering the fundamentals and gradually progress to more advanced tools and techniques.
4. You are looking to understand the basics of data modeling, databases, and how data is structured and managed.
5. You are interested in exploring big data platforms and cloud-based solutions from scratch.
6. You aim to play a crucial role in making data-driven decisions within organizations, starting from the ground up.
7. You are enthusiastic about joining the data revolution and are ready to embark on a journey of continuous learning and professional growth in data engineering

Curriculums:

1. Data Engineering overview
2. Introduction to SQL
3. SQL for Data Engineering
4. Data Ingestion and Warehouse
5. Data Build tool
6. EtL
7. Stream and Batch Processing.