Hadoop: Analyze, Configure & Manage Big Data

О курсе

Master Hadoop through a structured journey from Big Data foundations to advanced cluster administration. You’ll begin by identifying Big Data challenges and exploring the Hadoop ecosystem, HDFS write and read processes, and MapReduce programming through Word Count and output operations. As you progress, you’ll use the Cloudera environment, HDFS Web UI, HUE, and shell commands to interact with Hadoop. You’ll examine administrator responsibilities, Hadoop’s scalability and fault tolerance, and the roles of FS Image, NameNode, and Secondary NameNode. You’ll also explore HDFS architecture, block placement, Hadoop installation, hostnames, gateways, SSH keys, and password-less cluster communication. Finally, you’ll configure Hadoop site and slave files, apply rack awareness, use DFS administration tools, execute MapReduce jobs, and perform advanced HDFS file operations. You’ll validate system health, manage checkpointing, safe mode, maintenance mode, DataNode commissioning, and storage planning. Designed for learners seeking Hadoop development and administration skills, this course uniquely combines Big Data Hadoop, Hadoop Architecture and HDFS, and Hadoop on Cloudera in one practical learning path. Enroll to build the skills needed to configure clusters, process large datasets, and maintain reliable distributed systems.

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