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A data pipeline in data analytics refers to a series of processes that collect, transform, and move data from various sources to a destination, like a data warehouse or dashboard, for analysis and reporting. It automates data flow, ensuring timely and accurate data delivery. A typical pipeline includes steps like data ingestion, cleansing, transformation, and loading (ETL). Efficient pipelines are crucial for real-time analytics and business intelligence. As covered in the Google Data Analytics Certification, understanding how data pipelines work is essential for building scalable analytics solutions that support data-driven decision-making across organizations and industries.
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Posted : 07/08/2025 4:53 am