Data Engineering in 2025: Top Trends and Technologies

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Data engineering in 2025 is being shaped by cloud platforms, real-time processing, and AI/ML integration. The shift from ETL to ELT processes with tools like dbt and Apache Airflow are central themes alongside discussions about cost-effectiveness of cloud managed services such as AWS Glue and Snowflake. AI is automating schema inference and pipeline optimisation, while data quality and governance remain critical, especially with regulations like GDPR and CCPA. The evolving job market demands ...