Data Ingestion with Hadoop and Spark Training focuses on efficiently collecting and processing large-scale data using Hadoop and Apache Spark. This training explains how data ingestion enables the movement of structured and unstructured data into big data systems for analysis and processing. You will learn how to use Hadoop components and Spark frameworks to build scalable data ingestion pipelines. The course covers batch and real-time ingestion, data transformation, HDFS storage, Spark streaming, ETL workflows, and data integration techniques. It also explains best practices for improving data reliability, performance, and scalability in big data environments. This training is ideal for data engineers, big data developers, and analytics professionals.
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