Hadoop Projects: Apply MapReduce, Pig & Hive

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Build practical Big Data analytics skills by analyzing real-world YouTube metadata with Hadoop, MapReduce, Apache Pig, and Apache Hive. You’ll begin by preparing and structuring raw YouTube datasets, exploring Big Data fundamentals, and applying MapReduce jobs to identify patterns and high-rated videos. Next, you’ll use Pig Latin commands and scripts to design scalable data transformation workflows. You’ll process YouTube metadata, store results in HDFS, and interpret structured outputs. You’ll then create Hive tables and execute HiveQL queries to generate aggregated insights, including top-rated and most-viewed videos. Designed for students, professionals, and data enthusiasts, this project-based course emphasizes end-to-end implementation rather than theory alone. You’ll connect data preparation, large-scale processing, transformation, querying, and output interpretation in one structured workflow. By completing the course, you’ll be able to apply key Hadoop ecosystem tools efficiently and build a portfolio-ready YouTube data analysis project that demonstrates practical Big Data skills.

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