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DE2


Fees: INR 35400
USD 454
115 + Learners
127:01 Hours
180 Days access to the course

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

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.