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DE1


Fees: INR 26500
USD 340
81 + Learners
112:21 Hours
180 Days access to the course

Curriculum

  • 1.Introduction to Java  80 Mins  
  • 2.Java Installation and First Application  55 Mins  
  • 3.dissecting java program  119 Mins  
  • 4.Identifiers in Java  36 Mins  
  • 5.Datatypes in Java  105 Mins  
  • 6.Type Conversion  55 Mins  
  • 7.Instance Variable  75 Mins  
  • 8.Static Variable  79 Mins  
  • 9.Local Variable  86 Mins  
  • 10.Features of OOPS  78 Mins  
  • 11.Object Classes-Abstract class-Methods  85 Mins  
  • 12.Final keyword  98 Mins  
  • 13.1 Constructors and methods 1  71 Mins  
  • 13.2 Constructors and methods 2  93 Mins  
  • 14.Constructor calling  68 Mins  
  • 15.Parameter constructor in Inheritance  34 Mins  
  • 16.Packages  42 Mins  
  • 17.Interface  36 Mins  
  • 18.Use of Interfaces  31 Mins  
  • 19. Java.lang.Object  89 Mins  
  • 20.String and StringBuffer  95 Mins  
  • 21.Exception Handling Part 1  86 Mins  
  • 22.Exception Handling Part II  64 Mins  
  • 23.Array and Collections Intro  67 Mins  
  • 24.1 Introduction to List I  6 Mins  
  • 24. 2 List in Detail  75 Mins  
  • 25. CollectionsWithGenerics  39 Mins  
  • 26. IteratorVsListIterator  24 Mins  
  • 27. Set_Map  63 Mins  
  • 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  
  • 0.Hadoop Ecosystem components  22 Mins  
  • 1.Hive Installation  26 Mins  
  • 2.Concept of Hive Tables  48 Mins  
  • 3.WordCount in Hive  19 Mins  
  • 4.Datatypes in Hive  4 Mins  
  • 5.Hive Important Commands  54 Mins  
  • 6. Databases in Hive  40 Mins  
  • 7.NYSE dataset Assignment  37 Mins  
  • 8.Internal and External Table  70 Mins  
  • 9.Complex Datatypes  50 Mins  
  • 10.Installing Mysql 8.0  15 Mins  
  • 11.Configure MySQL as Metastore in Hive  24 Mins  
  • 12.Built in Functions  102 Mins  
  • 13.Joins in Hive  83 Mins  
  • 14.Ranking in Hive  13 Mins  
  • 15.Beeline  11 Mins  
  • 16.Java to Hive  75 Mins  
  • 17. Creating UDF  94 Mins  
  • 18. Assignment Hive UDF  10 Mins  
  • 19. Static Partitions  75 Mins  
  • 20.Dynamic partitions  27 Mins  
  • 21.Bucketing  45 Mins  
  • 22.Mapside Join  21 Mins  
  • 23.Bucket Map Join  33 Mins  
  • 24.Sort Merge Bucket Join  10 Mins  
  • 25.Skew Join  20 Mins  
  • 26.Hive Internal Architecure  15 Mins  
  • 27.Cost Based Optimizer  14 Mins  
  • 28.Different File Format and Benchmarking  26 Mins  
  • 29.Vectorization  12 Mins  
  • 30.Predicate Push Down  15 Mins  
  • 31.Compression Technique  10 Mins  
  • 32.Sort Order Distribute Cluster Union  39 Mins  
  • 33.Acid and Crud  45 Mins  
  • 34. Installing Git  3 Mins  
  • 35. Json Processing Using Functions and Serde  30 Mins  
  • 1. Installing Oracle in Windows  8 Mins  
  • 2.Installing Oracle in Linux  23 Mins  
  • 3. Introduction to sqoop and Installation  38 Mins  
  • 4.Realtime Database Environment  27 Mins  
  • 5.Sqoop Basic Commands  63 Mins  
  • 6.Advance Imports  58 Mins  
  • 7. Incremental Import last modified  23 Mins  
  • 8. Sqoop with Hive  33 Mins  
  • 9.Sqoop Validation  7 Mins  
  • 10.Sqoop Merge  11 Mins  
  • 11.Sqoop Direct  5 Mins  
  • 12. Sqoop Jobs  19 Mins  
  • 13.Sqoop Project  11 Mins  
  • 1. Introduction to NoSQL  21 Mins  
  • 2.Introduction to HBase  67 Mins  
  • 3.HBase Installation  16 Mins  
  • 4.HBase Commands  73 Mins  
  • 5.HBase Filters  41 Mins  
  • 6. HBase Using Java  43 Mins  
  • 7.HBase Assignment  11 Mins  
  • 8. HBase Architecture  46 Mins  
  • 9.How HBase writes data  33 Mins  
  • 10. How HBase Reads and Deletes Data  21 Mins  
  • 11.Compaction  22 Mins  
  • 12.Data Block Encoding  45 Mins  
  • 13.Bloom Filter  40 Mins  
  • 14.Mapreduce Writing to HBase  20 Mins  
  • 15. Mapreduce Reading from HBase  17 Mins  
  • 16.HBase Coprocessors  62 Mins  
  • 1. Introduction to Oozie  50 Mins  
  • 2. Understanding Cloudera VM  27 Mins  
  • 3. Running Predefined Oozie Example  12 Mins  
  • 4. Lifecycle of Oozie  6 Mins  
  • 5. Running WordCount in Cloudera  23 Mins  
  • 6. Running WordCount Job in Oozie  32 Mins  
  • 7.Oozie Coordinator Job-Time Based  29 Mins  
  • 8.Integrating Mapreduce Hive  21 Mins  
  • 9. Coordinator Job-Based on Data Availability  30 Mins  
  • 10. Project on Oozie  7 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

Suraj Ghimire
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.