DE2
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136 Hours 180 Days access to the course Start Course @ USD 82 (Pay the rest in 4 EMI)

Scala

65 Hours

60 Days

Kafka

10 Hours

15 Days

Spark

53 Hours

94 Days

Elasticsearch

5 Hours

15 Days

Certificate

Curriculum

1. Introduction to Java and Scala 45 Mins
2.Installing Scala in Windows 38 Mins
3.Datatypes and variable-1 41 Mins
4.Datatypes and variable-2 50 Mins
5.Datatypes and variable-3 38 Mins
6.Datatypes and variable-4 41 Mins
7.Datatypes and variable-5 36 Mins
8.Datatypes and variable-6 36 Mins
9.Match and If 36 Mins
10.Keywords and Operators 39 Mins

11.Functions-I 41 Mins
12.Function-II 47 Mins
13.Function-III 44 Mins
14.Classes and Objects 59 Mins
15.Singleton and Companion Objects 38 Mins
16.String-1 46 Mins
17.String-2 38 Mins
18.String-3 33 Mins
19.String-4 31 Mins
20.String-5 36 Mins

21.Decompiling Scala Classes 43 Mins
22.Constructors-Part 1 46 Mins
23.Constructor Part II 33 Mins
24.Case Class-Part I 45 Mins
25.Case Class-Part II 33 Mins
26.Arrays and Loop Part I 40 Mins
27.Arrays and Loop Part II 54 Mins
28.Arrays and Loop Part III 45 Mins
29.Arrays and Loop Part IV 46 Mins
30.Arrays and Loop Part V 61 Mins
31.ArrayBuffer 53 Mins
32.Installing SBT-Mac 59 Mins
33.Installing SBT-Windows 12 Mins
34.IntelliJ and Scala on Windows 46 Mins

34. Packages and Imports-I 41 Mins
35. Packages and Imports-II 32 Mins
36.Abstract Classes 34 Mins
37.Traits-I 43 Mins
38.Traits-II 41 Mins
39.Traits-III 38 Mins
40.Abstract Class Vs Traits 26 Mins
41. Exception Handling-I 33 Mins
42. Exception Handling-II 47 Mins
43. Exception Handling-III 38 Mins
44. Implicits-1 61 Mins
45. Implicits-2 61 Mins
46.Problem Solving 61 Mins

47. File Handling-1 34 Mins
48. File Handling-2 69 Mins
49.Reading Files and Folders Iteratively 33 Mins
50. File Splitter Project 38 Mins
51.Serialization 30 Mins
52. File Distribution System-Real time Project 37 Mins
53.Threads - I 41 Mins
54.Threads - II 31 Mins
55. Threads- III 40 Mins
56.Debugging in IntelliJ 68 Mins
57. Functional Programming-I 70 Mins
58. Functional Programming-II 71 Mins
59. Functional Programming-III 73 Mins
60.Tail Recursion 72 Mins
61.Head Recursion 47 Mins
62.Working with Third Party in Real time 55 Mins
63.Project-Invoice Managment 44 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 Java and Scala 45 Mins

2.Installing Scala in Windows 38 Mins

3.Datatypes and variable-1 41 Mins

4.Datatypes and variable-2 50 Mins

5.Datatypes and variable-3 38 Mins

6.Datatypes and variable-4 41 Mins

7.Datatypes and variable-5 36 Mins

8.Datatypes and variable-6 36 Mins

9.Match and If 36 Mins

10.Keywords and Operators 39 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

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 43 Mins
2.Introduction to Spark-II 58 Mins
3.Installing Spark 3.2.0 in Windows 38 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. Installing Scala Spark in Mac 12 Mins
9. Executing WordCount in REPL-Mac 42 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

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

ElasticSearch
Free videos

1.Introduction to Elastic Search 45 Mins
2.Installation of Elastic Search 63 Mins
3. Basic Operations 76 Mins
4.SQL in ElasticSearch 28 Mins
5.Elastic-Search Using Java 61 Mins
6.ElasticSearch Using Java-II 49 Mins
7. Product Analysis-Assignment 11 Mins
8.IndexCompanyData-Real time Project 18 Mins

Certificate

Certificate

Instructor

Suraj Ghimire

Suraj Ghimire

10 Years of IT experience

Working in BigData since last 7.5 Years

Training bigdata since 2014

Good Numbers of 5 star review on facebook

70% average hike from all students who are placed.