Data Processing
Data processing involves extracting, transforming, and loading data from various sources, preparing it for analysis and use in applications.
Overview
Data processing focuses on extracting data from sources, transforming it into useful formats, and loading it into target systems. ETL processes are fundamental to data engineering and analytics.
Data processing includes cleaning data, transforming formats, aggregating information, and preparing data for analysis or storage.
Key Technologies
Key Concepts
ETL Processes
Design and implement Extract, Transform, Load processes to move and transform data between systems.
Data Cleaning
Clean and validate data to ensure quality and consistency before processing.
Data Transformation
Transform data formats, aggregate information, and prepare data for analysis.
Data Pipelines
Build automated data pipelines that process data reliably and efficiently.