Qiang teacher: Large data from entry to the master (20) Spark RDD-116 people have been learning
courses income
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 in-depth understand 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: the Spark RDD
1. What is RDD 21:38
2. RDD Operator 11:17
3. RDD exemplary basic operators 20:41
4. RDD caching mechanism 17:28
The fault tolerance of RDD and checkpoint 13:44
6. dependencies and the Stage RDD 13:00
Chapter 2: Advanced operator of RDD
1. mapPartitionsWithIndex 10:41
2. Aggregate (. 1) 15:53
3. Aggregate (2) 20:19
4. aggregateByKey 10:11
5. The COALESCE and repartition 7:23
Chapter 3: Spark programming case
1. demand site visits 21:43
2. custom partitioning 23:48
3. access relational databases 19:35
4. use foreachPartition 13:44
5. use JdbcRDD 11:16
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Qiang teacher: Large data from entry to the master (20) Spark RDD- Qiang teacher - Featured Video Course
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Origin blog.csdn.net/zhaoyuqiang/article/details/83580440
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