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 Engineering in One Video Download All 5 Unit Notes: 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. FOLLOW ME ON: 📩 LinkedIn: www.linkedin.com/in/jamsher-shekh/ 📸 Instagram: www.instagram.com/jamsher_shekh_/ 🐦 Twitter: twitter.com/jamsher_shekh89 ▶️ YouTube Channel:    / @engineeringinonevideo   🎦 My another YouTube Channel:    / @jamshershekh651   #Hadoop #MapReduce #EIOV

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