Big Data Analytics with Hive, Pig & MapReduce

By the end of this course, learners will be able to design Hive databases, manage complex tables, process XML data with Pig, execute MapReduce jobs, and analyze large-scale social media datasets to extract meaningful insights. The course begins with foundational concepts of Hive, including databases, partitions, and bucketing, then advances into table optimization and constraints for schema design. Learners will gain practical experience in ingesting data with Sqoop, processing it using MapReduce, and applying location- and author-based analytics to real-world datasets. Finally, the course explores Pig scripting for XML processing and Hive complex data types for advanced bookmarking dataset analysis. This course is unique because it combines two hands-on case studies: one from the telecom industry and another from social media analytics, offering a blend of foundational Hive knowledge and advanced Hadoop ecosystem tools. Designed for professionals, students, and data enthusiasts, the course emphasizes practical application over theory, ensuring learners can confidently apply big data technologies to solve real business problems

• Design and optimize Hive databases for large datasets
• Process XML data and execute MapReduce and Pig scripts
• Apply analytics to telecom and social media data

• Basic computer and internet skills
• Ability to read English instructions and complete short practices