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You will learn to build powerful data processing applications in this course. You will learn about MapReduce, the Hadoop Distributed Files System (HDFS), and how to write MapReduce code, and you will cover best practices for Hadoop development, debugging, and implementation of workflows. This course covers concepts addressed on the Cloudera Certified Developer for Apache Hadoop (CCDH) exam. MapReduce and the HDFS Write MapReduce code in Java or other programming languages Issues to consider when developing MapReduce jobs Implement common algorithms in Hadoop Best practices for Hadoop development and debugging Use other projects such as Apache Hive, Apache Pig, Sqoop, and Oozie Advanced Hadoop API topics required for real-world data analysis Click Here to see our course list     Labs Throughout the course, you will write Hadoop code and perform other hands-on exercises to solidify your understanding of the concepts.   Who Needs to Attend Developers who need to write and maintain Apache Hadoop applications       Prerequisites • Some programming experience (preferably Java) • Knowledge of Hadoop is not required   Follow-On Courses Cloudera Training for Apache HBase     Certification Programs and Certificate Tracks This course is part of the following programs or tracks:CCDH: Cloudera Certified Developer for Apache Hadoop (CDH4) Post training 4 Hours Support After The Training Will Be Provided Schedule & Registration Register COURSES MODE/CITY START DATE END DATE Time HOURS PRICE (USD) Cloudera Developer Training for Apache Hadoop Bangalore Apr 14, 2015 Apr 17, 2015 10:00 A.M. - 6:00 P.M. IST 32 Hrs 1200       OSSCube Hadoop Consulting & Hadoop Implementation Services       Hadoop Consulting • Big Data strategy and roadmap • Business case • Use Case Discovery workshops • Organisation readiness   Hadoop Implementation • Architecture definition and selection • Implementation of rapid proof of concept • Implementation of complete solutions • Administration services