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Join the Most Effective Data Engineering Program 😊

DE1


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

Curriculum

  • 1.Introduction to Java 1:20 Hour
  • 2.Java Installation and First Application 55 min
  • 3.dissecting java program 1:59 Hour
  • 4.Identifiers in Java 36 min
  • 5.Datatypes in Java 1:45 Hour
  • 6.Type Conversion 55 min
  • 7.Instance Variable 1:15 Hour
  • 8.Static Variable 1:19 Hour
  • 9.Local Variable 1:26 Hour
  • 10.Features of OOPS 1:18 Hour
  • 11.Object Classes-Abstract class-Methods 1:25 Hour
  • 12.Final keyword 1:38 Hour
  • 13.1 Constructors and methods 1 1:11 Hour
  • 13.2 Constructors and methods 2 1:33 Hour
  • 14.Constructor calling 1:08 Hour
  • 15.Parameter constructor in Inheritance 34 min
  • 16.Packages 42 min
  • 17.Interface 36 min
  • 18.Use of Interfaces 31 min
  • 19. Java.lang.Object 1:29 Hour
  • 20.String and StringBuffer 1:35 Hour
  • 21.Exception Handling Part 1 1:26 Hour
  • 22.Exception Handling Part II 1:04 Hour
  • 23.Array and Collections Intro 1:07 Hour
  • 24.1 Introduction to List I 6 min
  • 24. 2 List in Detail 1:15 Hour
  • 25. CollectionsWithGenerics 39 min
  • 26. IteratorVsListIterator 24 min
  • 27. Set_Map 1:03 Hour
  • 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
  • 0.Hadoop Ecosystem components 22 min
  • 2.Concept of Hive Tables 48 min
  • 3.WordCount in Hive 19 min
  • 4.Datatypes in Hive 4 min
  • 5.Hive Important Commands 54 min
  • 1.Hive Installation 26 min
  • 7.NYSE dataset Assignment 37 min
  • 8.Internal and External Table 1:10 Hour
  • 9.Complex Datatypes 50 min
  • 10.Installing Mysql 8.0 15 min
  • 11.Configure MySQL as Metastore in Hive 24 min
  • 12.Built in Functions 1:42 Hour
  • 13.Joins in Hive 1:23 Hour
  • 14.Ranking in Hive 13 min
  • 15.Beeline 11 min
  • 16.Java to Hive 1:15 Hour
  • 17. Creating UDF 1:34 Hour
  • 18. Assignment Hive UDF 10 min
  • 19. Static Partitions 1:15 Hour
  • 20.Dynamic partitions 27 min
  • 21.Bucketing 45 min
  • 22.Mapside Join 21 min
  • 23.Bucket Map Join 33 min
  • 24.Sort Merge Bucket Join 10 min
  • 25.Skew Join 20 min
  • 26.Hive Internal Architecure 15 min
  • 27.Cost Based Optimizer 14 min
  • 28.Different File Format and Benchmarking 26 min
  • 29.Vectorization 12 min
  • 30.Predicate Push Down 15 min
  • 31.Compression Technique 10 min
  • 32.Sort Order Distribute Cluster Union 39 min
  • 33.Acid and Crud 45 min
  • 34. Installing Git 3 min
  • 35. Json Processing Using Functions and Serde 30 min
  • 6. Databases in Hive 40 min
  • 1. Installing Oracle in Windows 8 min
  • 2.Installing Oracle in Linux 23 min
  • 3. Introduction to sqoop and Installation 38 min
  • 4.Realtime Database Environment 27 min
  • 5.Sqoop Basic Commands 1:03 Hour
  • 6.Advance Imports 58 min
  • 7. Incremental Import last modified 23 min
  • 8. Sqoop with Hive 33 min
  • 9.Sqoop Validation 7 min
  • 10.Sqoop Merge 11 min
  • 11.Sqoop Direct 5 min
  • 12. Sqoop Jobs 19 min
  • 13.Sqoop Project 11 min
  • 1. Introduction to NoSQL 21 min
  • 2.Introduction to HBase 1:07 Hour
  • 3.HBase Installation 16 min
  • 4.HBase Commands 1:13 Hour
  • 5.HBase Filters 41 min
  • 6. HBase Using Java 43 min
  • 7.HBase Assignment 11 min
  • 8. HBase Architecture 46 min
  • 9.How HBase writes data 33 min
  • 10. How HBase Reads and Deletes Data 21 min
  • 11.Compaction 22 min
  • 12.Data Block Encoding 45 min
  • 13.Bloom Filter 40 min
  • 14.Mapreduce Writing to HBase 20 min
  • 15. Mapreduce Reading from HBase 17 min
  • 16.HBase Coprocessors 1:02 Hour
  • 1. Introduction to Oozie 50 min
  • 2. Understanding Cloudera VM 27 min
  • 3. Running Predefined Oozie Example 12 min
  • 4. Lifecycle of Oozie 6 min
  • 5. Running WordCount in Cloudera 23 min
  • 6. Running WordCount Job in Oozie 32 min
  • 7.Oozie Coordinator Job-Time Based 29 min
  • 8.Integrating Mapreduce Hive 21 min
  • 9. Coordinator Job-Based on Data Availability 30 min
  • 10. Project on Oozie 7 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.