Everything You Need to Know About Data Engineering in 15 Minutes | Christopher Garzon

This is your front to end guide of everything you need to know about data engineering. Today we will cover: 1. Introduction to Data Engineering Data engineering - house analogy (data is the water and electricity) Why it's important in today's data-driven world. (407M terabytes of data - a stadium) 2. Role of a Data Engineer Difference between data engineers, data scientists, and data analysts. Designing, building, and maintaining data pipelines. (make the data usable) Data analyst to analyze the data…now that its usable 3. Key Concepts And Tools in Data Engineering Discuss ETL (Extract, Transform, Load) vs. ELT (Extract, Load, Transform). SQL, Python, Data Modeling, Cloud, System Design 4. But Software Engineers? Software Engineers (create data) Vs Data Engineers (make it usable) to front end engineer 5. Challenges in Data Engineering Large volumes of data, ensuring data quality, source of truth 6. Real-World Applications Amex, Costco, Youtube… 7. Career Path and Skills New - Data Analyst to learn the foundations Experienced - Data Engineer…many more 8. Future of Data Engineering AI, edge computing, speed Machine learning like always… 9. Advice for Aspiring Data Engineers Books, online courses, and communities, for further learning. www.dataengineeracademy.com (free SQL training) ⬇️ Click below to book a call ⬇️ https://dataengineeracademy.com/ytinvite ⬇️ Click below to explore our coursework ⬇️ https://dataengineeracademy.com/ytcoursework