A Hadoop Developer is responsible for developing and managing applications in the Hadoop ecosystem, focusing on processing and analyzing large sets of data efficiently.
Java is essential for Hadoop development. Knowledge of Python and Scala is also beneficial, especially when working with Apache Spark.
Hadoop allows for distributed processing of large data sets across clusters of computers using simple programming models, providing scalability and fault tolerance.
While Hadoop is traditionally used for batch processing, integrating Apache Spark enables real-time data processing capabilities.
Emerging trends include cloud-based Hadoop solutions, integration with AI and machine learning, focus on real-time analytics, enhanced data security, and the adoption of containerization.