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Mastering Map Reduce


Fees: INR 12000
USD 154
55 + Learners
40:01 Hours
90 Days access to the course

Curriculum

  • 1.Introduction to Bigdata 65 Mins
  • 2. Hadoop 1 Architecture 52 Mins
  • 3. Namenode and Secondary NameNode 34 Mins
  • 4. Hadoop Yarn Architecture 33 Mins
  • 5.System Requirement for Hadoop Installation 5 Mins
  • 6.Installing Ubuntu 20 in VMWare 16,Java 8 23 Mins
  • 7.Installing Hadoop 3.3.1 in Ubuntu 20 38 Mins
  • 8.Creating Backup and Restoring VM 7 Mins
  • 9. Hadoop Commands- I 57 Mins
  • 10. Hadoop Commands-II 46 Mins
  • 11.Hadoop Commands-III 34 Mins
  • 12. Understanding Map-reduce 27 Mins
  • 13.Eclilpse and IntelliJ Installation 20 Mins
  • 14. Hadoop Plugins for Eclipse 9 Mins
  • 15.Word Count program-Mapreduce 66 Mins
  • 16. Finding Necessary Jar Files 19 Mins
  • 17. Important Observation-WC Program 94 Mins
  • 18.Maven with Mapreduce 55 Mins
  • 19.RowWiseMaxSum 9 Mins
  • 20.RowWiseMaxSum-Solution 43 Mins
  • 21. Max Temperature Problem 13 Mins
  • 22. Column Wise Average-Problem 8 Mins
  • 23. Parent Child Concept in Maven 12 Mins
  • 24.Attaching Hadoop Source Code 14 Mins
  • 25.Default Input Output Format 15 Mins
  • 26.Default Mapper and Reducer class 11 Mins
  • 27.Safe Mode 6 Mins
  • 28.Speculative Execution 10 Mins
  • 29.Hadoop Datatypes 38 Mins
  • 30.Map Only Job 22 Mins
  • 31.Log4j In Mapreduce 42 Mins
  • 32. Java API to Program HDFS 35 Mins
  • 33. Assignment on HDFS Programming 9 Mins
  • 34.Automate Mapreduce Job 39 Mins
  • 35. Junit in Java 33 Mins
  • 36.UnitTesting Mapreduce using MRUnit 33 Mins
  • 37.Debugging Mapreduce Program 33 Mins
  • 38.Creating a Fat Jar 21 Mins
  • 39.Running Mapreduce In Production 30 Mins
  • 40. LifeCycle of Mapreduce Program 62 Mins
  • 41.Custom Output FileName 15 Mins
  • 42.SingleReducerMultipleOutputFile 11 Mins
  • 43.MultipleColumnAsValueFromMapper 41 Mins
  • 44. Serialization in Java 20 Mins
  • 45. Comparable and Comparator 56 Mins
  • 46.Custom Writables 51 Mins
  • 47.Side Data Distribution Using Conf 28 Mins
  • 48.Side Data Distribution Using Stringfier 16 Mins
  • 49.Side Data Distribution Using DistributedCache 36 Mins
  • 50.Combiner 56 Mins
  • 51.Partitioner 88 Mins
  • 52. Distributed Cache and Joins 28 Mins
  • 53.ReduceSideJoin 54 Mins
  • 54.ReduceSideOuterJoin 24 Mins
  • 55.MapSideJoin 29 Mins
  • 56.Custom Input Format 40 Mins
  • 57.Dissecting RecordReader 62 Mins
  • 58.MultiMapperFor1Block 40 Mins
  • 59.Primary Reverse Sorting 29 Mins
  • 60.Secondary Sorting 49 Mins
  • 61.Counters 35 Mins
  • 62.Compression Technique 47 Mins
  • 63.KeyValueTextInputFormat 21 Mins
  • 64. DBInputFormat 24 Mins
  • 65.Different FileFormats 91 Mins
  • 66.Working with SequenceFileFormat 36 Mins
  • 67.Working with Avro Files 33 Mins
  • 68.Working with Json Files 32 Mins
  • 69. Working with ORC files 23 Mins
  • 70.Working with XML File 63 Mins
  • 71.Working with Parquet File 8 Mins
  • 72. Working on Amazon Dataset-Project 21 Mins

Instructor

Mastering Map Reduce
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.