Qiang teacher: Large data from entry to the master (6) MapReduce-168 people have been learning 
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this series of courses will be based on RedHat Linux 7.4 version, Hadoop 2.7.3, Spark 2 full version introduces a whole big data content, so that students with a thorough understanding and master the operating mechanism and principle, to further grasp the big data-related content.
Instructors
Qiang teacher For more Instructor Course
graduated from Tsinghua University, has over 13 years of experience. Oracle certified instructor with over 6 years of teaching experience. Mastering Oracle database, intermediate (Weblogic) Hadoop and big data management and development, proficient in Java language. Who Hubei Mobile, the Beijing Municipal Public Security Bureau, China Life Insurance, AutoDesk (China) Co., Ltd., Chengdu arrived Technology Co., Ltd., China Telecom, China Mobile, Shandong Education Network training. Because of its serious and responsible attitude to teaching and course content based on the nature of interpretation, sought after by students.
Course Outline
Chapter 1: Course Overview
1. MapReduce Course Overview 9:20
Chapter 2: MapReduce programming basics
1. Case Study: Process WordCount data processing 30:21
2. to develop their own program WordCount 34:42
3. Case Studies : find the total wages in each sector 16:49
4.Developing MapReduce programs seek to achieve the total wage sector 16:59
Chapter 3: MapReduce features a: serialization
1. serialization mechanism of Hadoop 37:14
2. use MapReduce program sequence of 13:03
Chapter 4: MapReduce the two characteristics: Sort
1 digital sorting 20:20
2. sort strings 21:27
3. sort object of 28:39
Chapter 5: the MapReduce three characteristics: partitioning and merging
1. What is partitioning 23:40
2. Zoning case: department number established according to the partition 24:02
3. What is Combiner 40:52
Chapter 6: MapReduce core: shuffle
1. What is the shuffle (shuffle)? 26:12
Chapter 7: MapReduce programming Case
1. Programming Case I: data deduplication 20:37
2. Knowledge Review: relational database in multi-table queries 14:06
3. Programming Case II: Analysis of data processing flow equijoins 18:45
4. Programming Case II: Implementing data processing flow equijoins 18:19
5. programming case 3: Analytical data processing flow connection from 19:50
6. programming case III: the connection from the data processing flow implemented to 20:54
7. case IV: analysis inverted index data handling process 30: 42
8. case four: programming inverted index 21:37
9. case 5: using MRUnit unit test 32:01
Chapter 8: Summary of the first phase
1. The first stage Summary 23:13
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