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DE1


Fees: INR 26500
USD 340
76 + Learners
112:01 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

DE1
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.