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DE2
Fees:
INR 35400
USD 454
85 + Learners
126:51 Hours
180 Days access to the course
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Scala
60 Days
6:09 Hours
Kafka
15 Days
5:29 Hours
Spark
94 Days
4:34 Hours
ElasticSearch
15 Days
6:13 Hours
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Curriculum
ScalaFundamentals-I
scalaFundamentals-II
scala Module-III
scala Module-IV
scala Module-V
scala Module-VI
scala Module-VII
scala Module-VIII
Kafka-Module I
Kafka-Module II
Spark Fundamental I
Spark Fundamentals II
Spark Module III
Spark Module IV
Spark Module V
Spark Module VI
Spark Module VII
Spark Module VIII
Spark Module IX
Spark Module X
ElasticSearch
Free videos
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
1. Introduction to Java and Scala
55 min
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Watch: 1. Introduction to Java and Scala
2.Installing Scala in Windows
38 min
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Watch: 2.Installing Scala in Windows
3.Datatypes and variable-1
51 min
×
Watch: 3.Datatypes and variable-1
4.Datatypes and variable-2
57 min
×
Watch: 4.Datatypes and variable-2
5.Datatypes and variable-3
52 min
×
Watch: 5.Datatypes and variable-3
6.Datatypes and variable-4
51 min
×
Watch: 6.Datatypes and variable-4
7.Datatypes and variable-5
26 min
×
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8.Match and If
37 min
×
Watch: 8.Match and If
9.Keywords and Operators
47 min
×
Watch: 9.Keywords and Operators
10.Introduction to Functions
34 min
×
Watch: 10.Introduction to Functions
Certificate
Instructor
Suraj Ghimire
Scala,Spark,Kafka,ElasticSearch,Bigdata
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.
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