Data Ingestion Strategies focus on how data is collected, imported, and transferred from multiple sources into storage or processing systems. It includes batch ingestion, real-time streaming, and hybrid approaches depending on system requirements. This training explains how data flows from sources like databases, APIs, IoT devices, and logs into data lakes or warehouses. It also covers key tools and frameworks used for ingestion, along with techniques for handling data volume, velocity, and variety. You will learn how to design efficient ingestion pipelines that ensure reliability, scalability, and minimal data loss. The course also highlights best practices for monitoring, error handling, and optimizing data flow in modern data engineering systems.
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