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Spark In Depth

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41:44 Hours

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Spark indepth

Spark In Depth

About The course

Spark Indepth

Enrollment

60 days of access

41:44 Hours

15000

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Learning path

Curriculum
Free videos

SparkFundamentals 10:50 Hours

1.Introduction to Spark 2:25 Hours
2. Installing Spark on window 27 min
3.WordCount in Spark REPL Windows 41 min
4.WordCount Using spark,Scala IntelliJ in Windows 18 min
5.Installing scala-sbt-spark in Ubuntu singlenode 33 min
6.Wordcount using REPL Linux 25 min
7.Installing IntelliJ and Executing Wordcount in Ubuntu 25 min
8.Spark Core Concepts and RDD 3:08 Hours
9.Spark Transformation 2:28 Hours

SparkBuildingBlocks 19:26 Hours

10.Spark Actions 3:14 Hours
11.Spark Caching 1:03 Hour
12.Spark Deployment Modules 3:03 Hours
13.PairedRDD-Part 1 2:32 Hours
13.PairedRDD-Part 2 2:34 Hours
14.Practice Exercise 1 4 min
15.Practice Exercises 2 9 min
16.Accumulators and Broadcast variables 1:20 Hour
17.Joins on RDD 30 min
18.Loading and saving data-1 3:07 Hours
18.Loading and saving data-2 59 min
19.Spark Graphx 51 min

SparkProjects 2:21 Hours

100.Spark Realtime Project 2:21 Hours

SparkStreaming 4:14 Hours

21.SparkStreaming-Part 1 2:51 Hours
21.SparkStreaming-Part 2 1:0 Hour
22.Spark Streaming with Kafka 23 min

SparkSQL 4:04 Hours

20.SparkSQL-Part 1 1:43 Hour
20.SparkSQL-Part 2 2:21 Hours

miscellaneous 49 Minutes

23. Unit Testing RDD and DataFrame 49 min

1.Introduction to Spark 2:25 Hours

2. Installing Spark on window 27 min

3.WordCount in Spark REPL Windows 41 min

4.WordCount Using spark,Scala IntelliJ in Windows 18 min

5.Installing scala-sbt-spark in Ubuntu singlenode 33 min

6.Wordcount using REPL Linux 25 min

7.Installing IntelliJ and Executing Wordcount in Ubuntu 25 min

8.Spark Core Concepts and RDD 3:08 Hours

9.Spark Transformation 2:28 Hours

Certificate

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.

FAQ

Spark Indepth