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Map Reduce
Rating:
80 + Learners
40:29 Hours
90 days access to the course
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Map-reduce
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Certificate
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About The course
The course contains around 45 sessions on Map-reduce.
The course is completely practically with a lot of handson exercise.
Enrollment
90 days of access
40:29 Hours
12000
ENROLL NOW
Learning path
Curriculum
Free videos
Mapreduce
27:52 Hours
23. Parent Child Concept in Maven
12 min
24.Attaching Hadoop Source Code
14 min
26.Default Mapper and Reducer class
11 min
27.Safe Mode
6 min
28.Speculative Execution
10 min
29.Hadoop Datatypes
38 min
30.Map Only Job
22 min
31.Log4j In Mapreduce
42 min
32. Java API to Program HDFS
35 min
33. Assignment on HDFS Programming
9 min
34.Automate Mapreduce Job
39 min
35. Junit in Java
33 min
36.UnitTesting Mapreduce using MRUnit
33 min
37.Debugging Mapreduce Program
33 min
38.Creating a Fat Jar
21 min
39.Running Mapreduce In Production
30 min
40. LifeCycle of Mapreduce Program
1:02 Hour
41.Custom Output FileName
15 min
42.SingleReducerMultipleOutputFile
11 min
43.MultipleColumnAsValueFromMapper
41 min
44. Serialization in Java
20 min
45. Comparable and Comparator
56 min
46.Custom Writables
51 min
47.Side Data Distribution Using Conf
28 min
48.Side Data Distribution Using Stringfier
16 min
49.Side Data Distribution Using DistributedCache
36 min
50.Combiner
56 min
51.Partitioner
1:28 Hour
25.Default Input Output Format
15 min
53.ReduceSideJoin
54 min
54.ReduceSideOuterJoin
24 min
55.MapSideJoin
29 min
56.Custom Input Format
40 min
57.Dissecting RecordReader
1:02 Hour
58.MultiMapperFor1Block
40 min
59.Primary Reverse Sorting
29 min
60.Secondary Sorting
49 min
61.Counters
35 min
62.Compression Technique
47 min
63.KeyValueTextInputFormat
21 min
64. DBInputFormat
24 min
65.Different FileFormats
1:31 Hour
66.Working with SequenceFileFormat
36 min
67.Working with Avro Files
33 min
68.Working with Json Files
32 min
69. Working with ORC files
23 min
70.Working with XML File
1:03 Hour
71.Working with Parquet File
8 min
72. Working on Amazon Dataset-Project
21 min
52. Distributed Cache and Joins
28 min
hadoopFundamentals-I
7:01 Hours
1.Introduction to Bigdata
1:05 Hour
2. Hadoop 1 Architecture
52 min
3. Namenode and Secondary NameNode
34 min
4. Hadoop Yarn Architecture
33 min
5.System Requirement for Hadoop Installation
5 min
6.Installing Ubuntu 20 in VMWare 16,Java 8
23 min
7.Installing Hadoop 3.3.1 in Ubuntu 20
38 min
8.Creating Backup and Restoring VM
7 min
9. Hadoop Commands- I
57 min
10. Hadoop Commands-II
46 min
11.Hadoop Commands-III
34 min
12. Understanding Map-reduce
27 min
hadoopFundamentals-II
5:36 Hours
13.Eclilpse and IntelliJ Installation
20 min
14. Hadoop Plugins for IntelliJ
9 min
15.Word Count program-Mapreduce
1:06 Hour
16. Finding Necessary Jar Files
19 min
17. Important Observation-WC Program
1:34 Hour
18.Maven with Mapreduce
55 min
19.RowWiseMaxSum
9 min
20.RowWiseMaxSum-Solution
43 min
21. Max Temperature Problem
13 min
22. Column Wise Average-Problem
8 min
27.Safe Mode
6 min
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Watch: 27.Safe Mode
28.Speculative Execution
10 min
×
Watch: 28.Speculative Execution
1.Introduction to Bigdata
1:05 Hour
×
Watch: 1.Introduction to Bigdata
2. Hadoop 1 Architecture
52 min
×
Watch: 2. Hadoop 1 Architecture
3. Namenode and Secondary NameNode
34 min
×
Watch: 3. Namenode and Secondary NameNode
4. Hadoop Yarn Architecture
33 min
×
Watch: 4. Hadoop Yarn Architecture
5.System Requirement for Hadoop Installation
5 min
×
Watch: 5.System Requirement for Hadoop Installation
6.Installing Ubuntu 20 in VMWare 16,Java 8
23 min
×
Watch: 6.Installing Ubuntu 20 in VMWare 16,Java 8
7.Installing Hadoop 3.3.1 in Ubuntu 20
38 min
×
Watch: 7.Installing Hadoop 3.3.1 in Ubuntu 20
8.Creating Backup and Restoring VM
7 min
×
Watch: 8.Creating Backup and Restoring VM
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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