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Join the Most Effective Data Engineering Program 😊

DE2


Fees: INR 35400
USD 454
85 + Learners
126:51 Hours
180 Days access to the course

Curriculum

  • 1. Introduction to Java and Scala 55 min
  • 2.Installing Scala in Windows 38 min
  • 3.Datatypes and variable-1 51 min
  • 4.Datatypes and variable-2 57 min
  • 5.Datatypes and variable-3 52 min
  • 6.Datatypes and variable-4 51 min
  • 7.Datatypes and variable-5 26 min
  • 8.Match and If 37 min
  • 9.Keywords and Operators 47 min
  • 10.Introduction to Functions 34 min
  • 11.Function-2 1:04 Hour
  • 12.Function-3 53 min
  • 13.Classes and Objects-Raw 1:08 Hour
  • 14. Singleton classes and objects - Raw 1:12 Hour
  • 15.String-1-Raw 1:06 Hour
  • 16.String-2-Raw 1:10 Hour
  • 17.String 3-Raw 1:35 Hour
  • 18.Decompiling Scala Classes 31 min
  • 19.Constructors-Part 1 36 min
  • 20.Constructor Part II 58 min
  • 21.Case Class-Part I 47 min
  • 22.Case Class-Part II 27 min
  • 23.Arrays and Loop Part I 1:0 Hour
  • 24.Arrays and Loop Part II 27 min
  • 25.Arrays and Loop Part III 45 min
  • 26.Arrays and Loop Part IV 59 min
  • 31. Packages and Imports 1:14 Hour
  • 32.Abstract Classes 43 min
  • 33.Traits-Part I 1:01 Hour
  • 34.Traits-Part II 42 min
  • 35.Abstract Class Vs Traits 43 min
  • 36. Exception Handling-I 51 min
  • 37. Exception Handling-II 36 min
  • 38. Exception Handling-III 38 min
  • 39. Implicits 1:01 Hour
  • 40. File Handling 59 min
  • 41.Reading Files and Folders 22 min
  • 42. File Splitter Project 14 min
  • 43.Serialization 23 min
  • 44. File Distribution System-Real time Project 10 min
  • 45.Threads -Part I 53 min
  • 46.Threads -Part II 29 min
  • 47.Working with Third Party in Real time 36 min
  • 48. Working on Excel and Pdf-Assignment 14 min
  • 49. Functional Programming-I 1:0 Hour
  • 50. Functional Programming-II 44 min
  • 51. Functional Programming-III 56 min
  • 52.Tail Recursion 46 min
  • 53.Head Recursion 31 min
  • 54.Debugging in IntelliJ 15 min
  • 55. Collections Introduction 1:12 Hour
  • 56.Exploring Iterator-I 37 min
  • 57.Exploring Iterator-II 44 min
  • 58.Exploring Iterator III 46 min
  • 59.Exploring Iterator IV 41 min
  • 60.Exploring Iterator V 47 min
  • 61.Collections-Seq-I 51 min
  • 62.Collections-Seq-II 1:09 Hour
  • 63.Collections-Seq-III 57 min
  • 64.Collections-Seq-IV 46 min
  • 65.String,StringBuffer,StringBuilder 36 min
  • 66.Map-I 56 min
  • 67.Map-II 1:18 Hour
  • 68.Set 1:01 Hour
  • 69.Private Public Protected 1:05 Hour
  • 70.Invoice Project 40 min
  • 71. Installing Mysql on Windows and Mac 42 min
  • 72.Working with Database 1:06 Hour
  • 73.Value Class 13 min
  • 74.Opaque Types 24 min
  • 75.Final Class 5 min
  • 76.Sealed Classes 7 min
  • 77.Open Class 7 min
  • 78.Monads 23 min
  • 79.Unit Testing in Scala 34 min
  • 80.Real time Deployment 43 min
  • 1. Introduction to Kafka 1:14 Hour
  • 2. Kafka Architecture 1:16 Hour
  • 3.Installing Kafka 27 min
  • 4.Leader and Follower Pattern 24 min
  • 5.Understanding Data Storage 20 min
  • 6.Consumer Groups in CLI 30 min
  • 7.Writing Producers 1:15 Hour
  • 8.Writing Your Partition 48 min
  • 9.Writing Single Consumer 34 min
  • 10.Partitioner Rebalance 40 min
  • 11.Consuming Particular Partition 9 min
  • 12.Writing your Serializer and Deserializer 30 min
  • 13.Writing Multithreaded Consumer 20 min
  • 14. Kafka in Production 42 min
  • 15.Idempotent Producer 12 min
  • 16.Idempotent Consumer 28 min
  • 17.Confluent Kafka Connect 44 min
  • 18.Kafka Streams 22 min
  • 1. Introduction to Spark-I 57 min
  • 2.Introduction to Spark-II 1:15 Hour
  • 3.Installing Spark 3.2.0 in Windows 21 min
  • 4.WordCount Using REPL Windows 35 min
  • 5.WordCount in Spark IntelliJ(Windows) 31 min
  • 6.Installing Scala Spark in Ubuntu 17 min
  • 7. WordCount in IntelliJ Ubuntu 12 min
  • 8. Exploring RDD-Part I 59 min
  • 9.Spark RDD-Part II 1:0 Hour
  • 10.Coalesce and Repartition 1:01 Hour
  • 11.Spark Transformation-Part I 49 min
  • 12.Spark Transformation-Part II 47 min
  • 13.Spark Action-Part I 45 min
  • 14.Spark Action-Part II 28 min
  • 15.Spark Action-Part III 53 min
  • 16.Spark Action Part IV 39 min
  • 17.Caching RDD 37 min
  • 18.Paired RDD-I 36 min
  • 19.Paired RDD-II 47 min
  • 20.Paired RDD-III 1:07 Hour
  • 21.Paired RDD-IV 36 min
  • 22.Paired RDD-V 50 min
  • 23.Types of Partitioner 38 min
  • 24.Practice Exercise 1 3 min
  • 25.Practice Exercise 2 8 min
  • 26.Accumulators 37 min
  • 27.Broadcast Variable 30 min
  • 28.Inner Join 29 min
  • 29.Spark Deployment Mode-Part I 1:02 Hour
  • 30.Spark Deployment Mode-Part II 40 min
  • 31.Loading and Saving of Data-Part I 57 min
  • 32.Working with CSV,TSV,Sequence,Object File 48 min
  • 33.Working with Amazon S3 and HBase 40 min
  • 34.Spark Graphx 29 min
  • 35.Real time Assignment on Graphx 25 min
  • 36.Spark SQL Intro 57 min
  • 37. Comparing code of Dataset,Data Frame,RDD 49 min
  • 38.Exploring DataFrame 1:01 Hour
  • 39.Programatically creating DataFrame 14 min
  • 40. Spark SQL Builtin Functions-I 49 min
  • 41. Spark SQL Builtin Functions-II 48 min
  • 42. Spark SQL Builtin Functions-III 1:21 Hour
  • 43.Joins in DataFrame and Spark UI 1:04 Hour
  • 44.DataFrame in IntelliJ 14 min
  • 45.Working with DataSets 41 min
  • 46.Converting RDD,DF,DS 22 min
  • 47.Comparing RDD,DS,DF 16 min
  • 48.row_number,rank,dense_rank 30 min
  • 49.Lag,Lead,Aggregate 33 min
  • 50.Pivot and Unpivot 12 min
  • 51.Partitioning in DataFrame 34 min
  • 52.Spark Connecting to Hive 39 min
  • 50.Realtime Project 1:08 Hour
  • 53.BroadCast Hash Join 26 min
  • 54.Shuffle Hash Join 13 min
  • 55.Shuffle Sort Merge Join 14 min
  • 56.Broadcast Nested Loop Join 12 min
  • 57.Cross Join 8 min
  • 58.Semi and Anti Join 8 min
  • 59.Self Join 25 min
  • 60.Cartesian Join 9 min
  • 61.Hinting Join Strategies 24 min
  • 62.How Spark Decides Join Strategies 21 min
  • 63.Avoid Data Skewing with Salting Technique 51 min
  • 64.Replacing Nulls 12 min
  • 65.Writing UDF 24 min
  • 66.Bucketing 22 min
  • 67.Vectorization using ORC and Parquet 18 min
  • 68.Understanding Tungsten 21 min
  • 69.Catalyst Optimizer 26 min
  • 70. Dynamic Resource Allocation 34 min
  • 71.Adaptive Query Execution 23 min
  • 72.Introduction to Spark Streaming 30 min
  • 73. Writing First Streaming Job 22 min
  • 74.Working with Multiple Streams 22 min
  • 75.Aggregation using checkpointing 28 min
  • 76.Realtime Coding Standard 14 min
  • 77.Foreach in Streaming 12 min
  • 78. Streaming and writing to a File 27 min
  • 79.Transformation and Queue Streams 15 min
  • 80.Sliding window Technique 51 min
  • 81.Assignment on Spark Streaming 21 min
  • 82.Spark Streaming with Kafka 34 min
  • 83.Spark Structured Streaming 40 min
  • 84. Streaming files using Structured Streaming 19 min
  • 85.Various Configuration for File Streaming 17 min
  • 86. Windowing in Structured Streaming 11 min
  • 87.Watermarking- Late Data 18 min
  • 88.Unit Testing RDD and DataFrames 40 min
  • 89. 20 Different Spark Optimisation Recap 1:22 Hour
  • 90. From Development to Production 47 min
  • 91.Deciding resources for any Spark Job 40 min
  • 92. Daily activity of a Data Engineer 6 min
  • 93. My Last Project- Building Maps 59 min
  • 1.Introduction to Elastic Search 1:09 Hour
  • 2.Installation of Elastic Search 22 min
  • 3. Installing ElasticSearch Clients 42 min
  • 4.Basic Command in ES 1:08 Hour
  • 5.ES SQL 32 min
  • 6.Bulk Upload and ES-SQL 13 min
  • 7.ElasticSearch Using Java 1:36 Hour
  • 8.IndexCompanyDataAssignment 31 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.