Learn Big Data and Hadoop Ecosystem by understanding how large-scale data is stored, processed, and analyzed using distributed computing frameworks. This training covers the core components of the Hadoop ecosystem, including HDFS for distributed storage, MapReduce for batch processing, and YARN for resource management. It also explains how the system distributes workloads across clusters and processes data efficiently. You will explore supporting tools such as Hive, Pig, HBase, and Sqoop for data ingestion, querying, and transformation. The course includes real-world use cases, data pipeline flow, and best practices for handling structured and unstructured data at scale. It focuses on building scalable and cost-effective big data solutions for enterprise analytics.
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