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How To Build A Scalable Data Analytics Pipeline

Building a scalable data analytics pipeline is crucial for handling large volumes of data efficiently. Whether you're analyzing customer behavior, predicting sales trends, or working with real-time data streams, a scalable data pipeline ensures that your system can grow with your needs. This guide explains how to design and implement such a pipeline in a simple, easy-to-understand way. 1. Understanding the Basics of a Data Analytics PipelineA data analytics pipeline is a series of steps that involve collecting, processing, analyzing, and presenting data to end-users or systems. It acts as the backbone for turning raw data into actionable insights.