Digi Pathshala Learn Big Data- Hadoop and MapReduce 2 DVD Set (45 hours of Content and 2 Real Time Projects)(DVD)

This training will help you setup Hadoop and learn Hadoop and Mapreduce programming from beginner to advance level and this course is designed to clear Cloudera Certified Developer for Apache Hadoop (CCDH).Here are the major components of this training course:Introduction to Hadoop and its Ecosystem, Map Reduce and HDFS, Deep Dive in Map Reduce and Yarn, Deep Dive in Pig & Hive, Introduction to Hbase architecture, Hadoop Cluster Setup and Running Map Reduce Jobs, Advance Mapreduce.Hands on Exercise:End to end POC using Yarn or Hadoop 2End to end POC using Yarn or Hadoop 2.0Learning Objectives:The key objectives of this online Big Data Hadoop Tutorial and training program are to enable developers to:Programming in YARN (MRv2) latest version of Hadoop Release 2.0Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced IndexingAdvance Map Reduce exercises – examples of Facebook sentiment analysis, LinkedIn shortest path algorithm, Inverted indexingDerive an insight into the field of Data ScienceUnderstand the Apache Hadoop frameworkLearn to work with Hadoop Distributed File System (HDFS)Learn how MapReduce interacts with data and processes themAbility to design and develop applications involving large data using Hadoop eco system.Differentiate between new as well as old APIs for HadoopUnderstand how YARN engages in managing compute resources into clustersLast but not the least, the Hadoop online tutorial program prepares programmers for better career opportunities in the world of Big Data!In this course from each component we have covered almost all the concepts in depth, like Partitioner, Combiner, MapReduce Sql Programs, MapReduce Counters, Secondary Sorting, Record Reader, Reading Excell Files, Reading JSON Files, Reading URL files, Reading data from Twitter and performing analytics, Hive SerDe, Hive UDF, UDTF, Pig Storage, Pig UDF, Load Func, Eval Func, Filter Func, NameNode Architecture, DataNode Architecture, Secondary NameNode Architecture and MapReduce Architecture.Course Structure:1. 45 hours course2. Real time explanations of the concepts3. 95% Technical and 5 % PPT for Architecture discussion + 50 Hours of course for practical no PPT4. 50 Real Time POC’s5. 2 Real Time Projects6. Interview QuestionsBenefits of taking this course:We provide Ubuntu VMWare where you can learn the subject from scratch, instead of Cloudera and Hortonworks where each and every thing will be installed already where developer can’t learn the installation concepts, we are providing the training on plain Ubuntu so that developer also can learn installations.Cluster Setup documentPhyton and C++ example of MapReduceSqoop Concepts in depthHBase discussion with Commands and Java API(mostly people skip Java Api discussion)Oozie with coordination exampleAfter learning from this course you will be perfect in all the areas of Hadoop with real time scenarios and you can work on any project of Hadoop without any one’s support.