Overview of the Hadoop 2.0 Certification exam for Pig and Hive Developer Exam
Targeting big data developers, this certification validates core competencies in architecting scalable data processing pipelines within the Hadoop 2.0 ecosystem. Candidates must demonstrate proficiency in scripting complex ETL workflows using Apache Pig, specifically leveraging Pig Latin for data transformation, nested structures, and user-defined functions. The exam mandates technical mastery of Apache Hive, emphasizing schema definition, advanced HiveQL optimization, and partition management for analytical queries on HDFS. Mastery of YARN for resource management, sequence file serialization, and performance tuning strategies remains critical. Proficiency in debugging map-reduce jobs and integrating external data sources into the Hive warehouse facilitates robust, production-ready distributed computing implementations.