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DE2


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127:01 Hours
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Curriculum

  • 1. Introduction to Java and Scala 55 Mins
  • 2.Installing Scala in Windows 38 Mins
  • 3.Datatypes and variable-1 51 Mins
  • 4.Datatypes and variable-2 57 Mins
  • 5.Datatypes and variable-3 52 Mins
  • 6.Datatypes and variable-4 51 Mins
  • 7.Datatypes and variable-5 26 Mins
  • 8.Match and If 37 Mins
  • 9.Keywords and Operators 47 Mins
  • 8.Writing Your Partition 48 Mins
  • 9.Writing Single Consumer 34 Mins
  • 10.Partitioner Rebalance 40 Mins
  • 11.Consuming Particular Partition 9 Mins
  • 12.Writing your Serializer and Deserializer 30 Mins
  • 13.Writing Multithreaded Consumer 20 Mins
  • 14. Kafka in Production 42 Mins
  • 15.Idempotent Producer 12 Mins
  • 16.Idempotent Consumer 28 Mins
  • 17.Confluent Kafka Connect 44 Mins
  • 18.Kafka Streams 22 Mins
  • 1. Introduction to Spark-I 57 Mins
  • 2.Introduction to Spark-II 75 Mins
  • 3.Installing Spark 3.2.0 in Windows 21 Mins
  • 4.WordCount Using REPL Windows 35 Mins
  • 5.WordCount in Spark IntelliJ(Windows) 31 Mins
  • 6.Installing Scala Spark in Ubuntu 17 Mins
  • 7. WordCount in IntelliJ Ubuntu 12 Mins
  • 8. Exploring RDD-Part I 59 Mins
  • 9.Spark RDD-Part II 60 Mins
  • 10.Coalesce and Repartition 61 Mins
  • 11.Spark Transformation-Part I 49 Mins
  • 12.Spark Transformation-Part II 47 Mins
  • 13.Spark Action-Part I 45 Mins
  • 14.Spark Action-Part II 28 Mins
  • 15.Spark Action-Part III 53 Mins
  • 16.Spark Action Part IV 39 Mins
  • 17.Caching RDD 37 Mins
  • 18.Paired RDD-I 36 Mins
  • 19.Paired RDD-II 47 Mins
  • 20.Paired RDD-III 67 Mins
  • 21.Paired RDD-IV 36 Mins
  • 22.Paired RDD-V 50 Mins
  • 23.Types of Partitioner 38 Mins
  • 24.Practice Exercise 1 3 Mins
  • 25.Practice Exercise 2 8 Mins
  • 26.Accumulators 37 Mins
  • 27.Broadcast Variable 30 Mins
  • 28.Inner Join 29 Mins
  • 29.Spark Deployment Mode-Part I 62 Mins
  • 30.Spark Deployment Mode-Part II 40 Mins
  • 31.Loading and Saving of Data-Part I 57 Mins
  • 32.Working with CSV,TSV,Sequence,Object File 48 Mins
  • 33.Working with Amazon S3 and HBase 40 Mins
  • 34.Spark Graphx 29 Mins
  • 35.Real time Assignment on Graphx 25 Mins
  • 36.Spark SQL Intro 57 Mins
  • 37. Comparing code of Dataset,Data Frame,RDD 49 Mins
  • 38.Exploring DataFrame 61 Mins
  • 39.Programatically creating DataFrame 14 Mins
  • 40. Spark SQL Builtin Functions-I 49 Mins
  • 41. Spark SQL Builtin Functions-II 48 Mins
  • 42. Spark SQL Builtin Functions-III 81 Mins
  • 43.Joins in DataFrame and Spark UI 64 Mins
  • 44.DataFrame in IntelliJ 14 Mins
  • 45.Working with DataSets 41 Mins
  • 46.Converting RDD,DF,DS 22 Mins
  • 47.Comparing RDD,DS,DF 16 Mins
  • 48.row_number,rank,dense_rank 30 Mins
  • 49.Lag,Lead,Aggregate 33 Mins
  • 50.Pivot and Unpivot 12 Mins
  • 51.Partitioning in DataFrame 34 Mins
  • 52.Spark Connecting to Hive 39 Mins
  • 50.Realtime Project 68 Mins
  • 53.BroadCast Hash Join 26 Mins
  • 54.Shuffle Hash Join 13 Mins
  • 55.Shuffle Sort Merge Join 14 Mins
  • 56.Broadcast Nested Loop Join 12 Mins
  • 57.Cross Join 8 Mins
  • 58.Semi and Anti Join 8 Mins
  • 59.Self Join 25 Mins
  • 60.Cartesian Join 9 Mins
  • 61.Hinting Join Strategies 24 Mins
  • 62.How Spark Decides Join Strategies 21 Mins
  • 63.Avoid Data Skewing with Salting Technique 51 Mins
  • 64.Replacing Nulls 12 Mins
  • 65.Writing UDF 24 Mins
  • 66.Bucketing 22 Mins
  • 67.Vectorization using ORC and Parquet 18 Mins
  • 68.Understanding Tungsten 21 Mins
  • 69.Catalyst Optimizer 26 Mins
  • 70. Dynamic Resource Allocation 34 Mins
  • 71.Adaptive Query Execution 23 Mins
  • 72.Introduction to Spark Streaming 30 Mins
  • 73. Writing First Streaming Job 22 Mins
  • 74.Working with Multiple Streams 22 Mins
  • 75.Aggregation using checkpointing 28 Mins
  • 76.Realtime Coding Standard 14 Mins
  • 77.Foreach in Streaming 12 Mins
  • 78. Streaming and writing to a File 27 Mins
  • 79.Transformation and Queue Streams 15 Mins
  • 80.Sliding window Technique 51 Mins
  • 81.Assignment on Spark Streaming 21 Mins
  • 82.Spark Streaming with Kafka 34 Mins
  • 83.Spark Structured Streaming 40 Mins
  • 84. Streaming files using Structured Streaming 19 Mins
  • 85.Various Configuration for File Streaming 17 Mins
  • 86. Windowing in Structured Streaming 11 Mins
  • 87.Watermarking- Late Data 18 Mins
  • 10.Introduction to Functions 34 Mins
  • 11.Function-2 64 Mins
  • 12.Function-3 53 Mins
  • 13.Classes and Objects-Raw 68 Mins
  • 14. Singleton classes and objects - Raw 72 Mins
  • 15.String-1-Raw 66 Mins
  • 16.String-2-Raw 70 Mins
  • 17.String 3-Raw 95 Mins
  • 88.Unit Testing RDD and DataFrames 40 Mins
  • 89. 20 Different Spark Optimisation Recap 82 Mins
  • 90. From Development to Production 47 Mins
  • 91.Deciding resources for any Spark Job 40 Mins
  • 92. Daily activity of a Data Engineer 6 Mins
  • 93. My Last Project- Building Maps 59 Mins
  • 1.Introduction to Elastic Search 69 Mins
  • 2.Installation of Elastic Search 22 Mins
  • 3. Installing ElasticSearch Clients 42 Mins
  • 4.Basic Command in ES 68 Mins
  • 5.ES SQL 32 Mins
  • 6.Bulk Upload and ES-SQL 13 Mins
  • 7.ElasticSearch Using Java 96 Mins
  • 8.IndexCompanyDataAssignment 31 Mins
  • 18.Decompiling Scala Classes 31 Mins
  • 19.Constructors-Part 1 36 Mins
  • 20.Constructor Part II 58 Mins
  • 21.Case Class-Part I 47 Mins
  • 22.Case Class-Part II 27 Mins
  • 23.Arrays and Loop Part I 60 Mins
  • 24.Arrays and Loop Part II 27 Mins
  • 25.Arrays and Loop Part III 45 Mins
  • 26.Arrays and Loop Part IV 59 Mins
  • 27.Installing SBT-Windows 12 Mins
  • 28.IntelliJ and Scala on Windows 46 Mins
  • 31. Packages and Imports 74 Mins
  • 32.Abstract Classes 43 Mins
  • 33.Traits-Part I 61 Mins
  • 34.Traits-Part II 42 Mins
  • 35.Abstract Class Vs Traits 43 Mins
  • 36. Exception Handling-I 51 Mins
  • 37. Exception Handling-II 36 Mins
  • 38. Exception Handling-III 38 Mins
  • 39. Implicits 61 Mins
  • 40. File Handling 59 Mins
  • 41.Reading Files and Folders 22 Mins
  • 42. File Splitter Project 14 Mins
  • 43.Serialization 23 Mins
  • 44. File Distribution System-Real time Project 10 Mins
  • 45.Threads -Part I 53 Mins
  • 46.Threads -Part II 29 Mins
  • 47.Working with Third Party in Real time 36 Mins
  • 48. Working on Excel and Pdf-Assignment 14 Mins
  • 49. Functional Programming-I 60 Mins
  • 50. Functional Programming-II 44 Mins
  • 51. Functional Programming-III 56 Mins
  • 52.Tail Recursion 46 Mins
  • 53.Head Recursion 31 Mins
  • 54.Debugging in IntelliJ 15 Mins
  • 55. Collections Introduction 72 Mins
  • 56.Exploring Iterator-I 37 Mins
  • 57.Exploring Iterator-II 44 Mins
  • 58.Exploring Iterator III 46 Mins
  • 59.Exploring Iterator IV 41 Mins
  • 60.Exploring Iterator V 47 Mins
  • 61.Collections-Seq-I 51 Mins
  • 62.Collections-Seq-II 69 Mins
  • 63.Collections-Seq-III 57 Mins
  • 64.Collections-Seq-IV 46 Mins
  • 65.String,StringBuffer,StringBuilder 36 Mins
  • 66.Map-I 56 Mins
  • 67.Map-II 78 Mins
  • 68.Set 61 Mins
  • 69.Private Public Protected 65 Mins
  • 70.Invoice Project 40 Mins
  • 71. Installing Mysql on Windows and Mac 42 Mins
  • 72.Working with Database 66 Mins
  • 73.Value Class 13 Mins
  • 74.Opaque Types 24 Mins
  • 75.Final Class 5 Mins
  • 76.Sealed Classes 7 Mins
  • 77.Open Class 7 Mins
  • 78.Monads 23 Mins
  • 79.Unit Testing in Scala 34 Mins
  • 80.Real time Deployment 43 Mins
  • 1. Introduction to Kafka 74 Mins
  • 2. Kafka Architecture 76 Mins
  • 3.Installing Kafka 27 Mins
  • 4.Leader and Follower Pattern 24 Mins
  • 5.Understanding Data Storage 20 Mins
  • 6.Consumer Groups in CLI 30 Mins
  • 7.Writing Producers 75 Mins

Certificate

Certificate

Instructor

DE2
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.