Course DetailsThis 40-hour Instructor led training course, part of the Big Data program at AiQuest, is aimed at teaching Big data Application development and analysis in Apache Hadoop using Apache ecosystem tools like Pig, Hive and Spark. Students will learn the details of Hadoop, YARN, Hadoop Distributed File System (HDFS), MapReduce and deep-dive into practical lab sessions in Pig programming, Hive programming and Spark to perform data analytics in Big Data. Data Ingestion techniques using Sqoop and Flume, and workflow definitions using Oozie are also covered in this course. This training course is best suited for certification aspirants (HDPCD and CCA developer certifications) and prepares Hadoop developers for real-world challenges.
Students should be familiar with any programming language or scripting. SQL and basic Unix knowledge is helpful but not necessary. No prior Hadoop knowledge or experience is required.
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The mission of Ai Quest (AiQ) is to help organisations and knowledge workers to explore and realize their true potential in the Artificial Intelligence (AI) landscape. The true potential of Big Data in the AI realm goes beyond implementing new technologies and having appropriate data analytics. The strategy must include well trained resources, right performance measures that affect the corporate performance, exploiting existing technological resources to maximize the value and continuous investment in corporate training.