Hadoop is a distributed storage and processing framework renowned for its scalability, fault-tolerance, and ability to handle extensive datasets. Originally designed to manage large-scale data processing, Hadoop has evolved into a versatile solution for diverse big data applications. Its architecture efficiently distributes and processes data across clusters.

Key Features of Hadoop:

• Hadoop excels in distributed storage and processing, making it an optimal choice for constructing scalable and robust data pipelines.
• Its distributed nature ensures fault tolerance, minimizing data loss and upholding system reliability even during failures.
• Hadoop facilitates batch and real-time data processing, integrating seamlessly with various data analytics and processing frameworks.
• It offers efficient data storage, retrieval, and processing capabilities, enabling durable and reliable data management.

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