Online Courses On Map Reduce - Get Map Reduce Certified Today‎

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

44:05 Hours

12000

ENROLL NOW

Learning path

Curriculum
Free videos

hadoopBasicsFree 16:13 Hours

1. Introduction to Big Data and Hadoop 1:07 Hour
2.Hadoop Architecture 1:13 Hour
3.NameNode Vs Secondary Namenode 38 min
4. Limitation of Hadoop 1 15 min
5 Hadoop 2.X Architecture 11 min
6.System Requirement for Hadoop 32 min
7. Installing Vmware workstation and Ubuntu 25 min
8.Installing Hadoop 3.3.0 25 min
9. Hadoop Commands Part 3 1:15 Hour
10.Installing Eclipse and IntelliJ in Ubuntu 23 min
11.Configuring hadoop in Eclipse 13 min
12.Understanding Mapreduce 1:06 Hour
13. Writing WordCount Program 48 min
14.Finding Exact Jar Files 40 min
15.Important Observation in Mapreduce 39 min
16. RowWiseHighestNumber-Assignment 23 min
17.Row Wise Highest Solution 44 min
18.Create MapReduce Maven Project 29 min
19.Install maven and build map reduce project 16 min
20. Year Wise Maximum Temperature 55 min
21.Highest Frequency Word-Solution 1:14 Hour
22.Column Wise Average-Assignment 5 min
21.Highest Frequency Word-Assignment 7 min
9.Hadoop Commands Part 2 1:13 Hour
9.Hadoop Commands Part 1 57 min

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

1. Introduction to Big Data and Hadoop 1:07 Hour

2.Hadoop Architecture 1:13 Hour

3.NameNode Vs Secondary Namenode 38 min

4. Limitation of Hadoop 1 15 min

5 Hadoop 2.X Architecture 11 min

6.System Requirement for Hadoop 32 min

7. Installing Vmware workstation and Ubuntu 25 min

8.Installing Hadoop 3.3.0 25 min

9. Hadoop Commands Part 3 1:15 Hour

10.Installing Eclipse and IntelliJ in Ubuntu 23 min

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

We will keep adding