Unit 2: Hadoop and MapReduce Big Data AKTU With Notes | BTech 3rd Year KCS 061
Big Data KCS 061 Unit 2 With Notes AKTU Exam 3rd Year
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Download All 5 Unit Notes: https://rzp.io/l/BE6TiMU
Big Data Complete Playlist: • Big Data KCS 061 B.Tech AKTU 3rd Year
Time Stamps:
00:00 :- Beginning of Big Data
00:47 :- Topics to be covered
Hadoop:
03:26 :- History of Hadoop
05:37 :- Apache Hadoop
11:28 :- Hadoop as a solution
14:53 :- Hadoop Advantages and Disadvantages
18:56 :- Components of Hadoop
22:40 :- How Hadoop works?
25:44 :- HDFS
32:32 :- Characteristics of HDFS
35:30 :- MapReduce
46:54 :- YARN
52:08 :- Hadoop data format
54:53 :- Hadoop scaling out
57:34 :- Hadoop Echo System
MapReduce:
01:00:15 :- MapReduce framework and basics
01:02:31 :- MapReduce characteristics
01:04:25 :- How MapReduce works?
01:05:28 :- Developing a MapReduce Application
01:09:12 :- Mapper
01:12:34 :- Unit tests with MR Unit
01:14:19 :- Anatomy of a MapReduce job run
01:18:23 :- Job Scheduling
01:20:34 :- Shuffle
01:21:39 :- Sort
01:22:38 :- MapReduce Types
01:24:23 :- Input Formats
01:27:03 :- Types of Input Formats
01:30:00 :- Output Formats
01:32:28 :- Types of Output Formats
01:32:58 :- MapReduce Features
01:35:18 :- Happy Ending!
Big Data KCS 061 Syllabus:
Hadoop: History of Hadoop, Apache Hadoop, the Hadoop Distributed File System, components of Hadoop, data format, analyzing data with Hadoop, scaling out, Hadoop streaming, Hadoop pipes, Hadoop Echo System.
MapReduce: Map Reduce framework and basics, how Map Reduce works, developing a Map Reduce application, unit tests with MR unit, test data and local tests, anatomy of a Map Reduce job run, failures, job scheduling, shuffle and sort, task execution, Map Reduce types, input formats, output formats, Map Reduce features, Real-world Map Reduce.
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