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Immerse yourself in the comprehensive world of Hadoop with this expertly designed course. Starting with the basics, you'll learn to install the Hortonworks Data Platform Sandbox on your local machine, providing you with a powerful environment to explore Hadoop's core functionalities. The course meticulously guides you through essential concepts such as the Hadoop Distributed File System (HDFS) and MapReduce, offering practical exercises to solidify your understanding. As you progress, you'll delve into advanced Hadoop programming with tools like Pig, Hive, and Spark. These modules are designed to give you hands-on experience with real-world datasets, allowing you to build complex queries, analyze large datasets, and even venture into machine learning with Spark's MLLib. The course also covers integrating relational and non-relational databases with Hadoop, ensuring you can handle a wide range of data scenarios in your career. The final sections focus on managing and optimizing your Hadoop cluster, introducing you to tools like YARN, ZooKeeper, Oozie, and Kafka. You鈥檒l learn how to feed data into your cluster efficiently, manage resources, and analyze streaming data in real time. By the end of this course, you鈥檒l be well-equipped to design and implement Hadoop-based solutions in any data-driven environment. This course is ideal for data engineers, software developers, and IT professionals who have a basic understanding of programming and data management. Familiarity with Java, SQL, and Linux command-line interfaces is recommended but not required.