SQL integrates seamlessly with data pipelines and ETL tools because it's the primary language for extracting, transforming, and loading structured data. It enables you to clean, filter, and prepare data from diverse sources. ETL tools such as Apache Airflow and Talend support SQL-based steps for data processing. SQL also integrates with cloud platforms for real-time integration and analysis. Its compatibility with visualisation tools and automation makes SQL essential for building reliable, scalable analytics pipelines.
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