Data Engineering Principles for Aspiring Data Scientists: ETL/ELT & Data Pipeline Fundamentals

Master the essential data engineering principles, from ETL/ELT paradigms to robust data pipeline construction, crucial for preparing and managing data for advanced analytics and machine learning as a Data Scientist.

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Foundations of Data Processing: ETL, ELT, and Pipeline Components

Unit 1: Understanding ETL and ELT Paradigms

Unit 2: Anatomy of a Data Pipeline

Unit 3: Essential Data Transformations

Building Robust Data Pipelines: Orchestration, Quality, and Cloud Solutions

Unit 1: Orchestrating Your Data Flow

Unit 2: Ensuring Data Integrity

Unit 3: Cloud-Native Data Solutions