Confused between Data Science & Data Engineering? This free session breaks it all down — roles, responsibilities, tools, skills, and how companies actually hire Data Engineers. Learn what to study and how to stand out in interviews. | SCALER

Confused between Data Science & Data Engineering? This free session breaks it all down — roles, responsibilities, tools, skills, and how companies actually hire Data Engineers. Learn what to study and how to stand out in interviews. | SCALER

Data Engineering Made Easy! Data Engineering finally makes sense when you see it as a complete data flow system, not just writing pipelines 🚀. It all starts with Data Sources 📥—records from databases, APIs, logs, and files. This raw data enters the system through Data Ingestion, either in batch mode or real-time streaming. Once ingested, data moves into Data Storage 🗄️ such as data lakes, lakehouses, or data warehouses. This is where raw data is stored, cleaned, and structured for future use.