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Join the Most Effective Data Engineering Program 😊

Mastering Map Reduce


Fees: INR 12000
USD 154
57 + Learners
40:29 Hours
90 Days access to the course

Curriculum

  • 1.Introduction to Bigdata 1:05 Hour
  • 2. Hadoop 1 Architecture 52 min
  • 3. Namenode and Secondary NameNode 34 min
  • 4. Hadoop Yarn Architecture 33 min
  • 5.System Requirement for Hadoop Installation 5 min
  • 6.Installing Ubuntu 20 in VMWare 16,Java 8 23 min
  • 7.Installing Hadoop 3.3.1 in Ubuntu 20 38 min
  • 8.Creating Backup and Restoring VM 7 min
  • 9. Hadoop Commands- I 57 min
  • 10. Hadoop Commands-II 46 min
  • 11.Hadoop Commands-III 34 min
  • 12. Understanding Map-reduce 27 min
  • 13.Eclilpse and IntelliJ Installation 20 min
  • 14. Hadoop Plugins for IntelliJ 9 min
  • 15.Word Count program-Mapreduce 1:06 Hour
  • 16. Finding Necessary Jar Files 19 min
  • 17. Important Observation-WC Program 1:34 Hour
  • 18.Maven with Mapreduce 55 min
  • 19.RowWiseMaxSum 9 min
  • 20.RowWiseMaxSum-Solution 43 min
  • 21. Max Temperature Problem 13 min
  • 22. Column Wise Average-Problem 8 min
  • 23. Parent Child Concept in Maven 12 min
  • 24.Attaching Hadoop Source Code 14 min
  • 26.Default Mapper and Reducer class 11 min
  • 27.Safe Mode 6 min
  • 28.Speculative Execution 10 min
  • 29.Hadoop Datatypes 38 min
  • 30.Map Only Job 22 min
  • 31.Log4j In Mapreduce 42 min
  • 32. Java API to Program HDFS 35 min
  • 33. Assignment on HDFS Programming 9 min
  • 34.Automate Mapreduce Job 39 min
  • 35. Junit in Java 33 min
  • 36.UnitTesting Mapreduce using MRUnit 33 min
  • 37.Debugging Mapreduce Program 33 min
  • 38.Creating a Fat Jar 21 min
  • 39.Running Mapreduce In Production 30 min
  • 40. LifeCycle of Mapreduce Program 1:02 Hour
  • 41.Custom Output FileName 15 min
  • 42.SingleReducerMultipleOutputFile 11 min
  • 43.MultipleColumnAsValueFromMapper 41 min
  • 44. Serialization in Java 20 min
  • 45. Comparable and Comparator 56 min
  • 46.Custom Writables 51 min
  • 47.Side Data Distribution Using Conf 28 min
  • 48.Side Data Distribution Using Stringfier 16 min
  • 49.Side Data Distribution Using DistributedCache 36 min
  • 50.Combiner 56 min
  • 51.Partitioner 1:28 Hour
  • 25.Default Input Output Format 15 min
  • 53.ReduceSideJoin 54 min
  • 54.ReduceSideOuterJoin 24 min
  • 55.MapSideJoin 29 min
  • 56.Custom Input Format 40 min
  • 57.Dissecting RecordReader 1:02 Hour
  • 58.MultiMapperFor1Block 40 min
  • 59.Primary Reverse Sorting 29 min
  • 60.Secondary Sorting 49 min
  • 61.Counters 35 min
  • 62.Compression Technique 47 min
  • 63.KeyValueTextInputFormat 21 min
  • 64. DBInputFormat 24 min
  • 65.Different FileFormats 1:31 Hour
  • 66.Working with SequenceFileFormat 36 min
  • 67.Working with Avro Files 33 min
  • 68.Working with Json Files 32 min
  • 69. Working with ORC files 23 min
  • 70.Working with XML File 1:03 Hour
  • 71.Working with Parquet File 8 min
  • 72. Working on Amazon Dataset-Project 21 min
  • 52. Distributed Cache and Joins 28 min

Instructor

Suraj Ghimire
Scala,Spark,Kafka,ElasticSearch,Bigdata


  1. 10 Years of IT experience
  2. Working in  BigData since last 7.5 Years
  3. Training bigdata since 2014
  4. Good Numbers of 5 star review on facebook
  5. 70% average hike from all students who are placed.