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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

Tools

Apache Spark
Airflow
ETL Tools
Data Pipelines

Platforms

AWS Glue
Azure Data Factory
Talend

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.

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