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Lesson 7: Working with Data
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Quiz 7
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Lesson 8: Launch Jobs
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Quiz 8
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Lesson 9: Streaming MapReduce
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Quiz 9
- Course Materials
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Slide Guide (Transcript)
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Lab Guide
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Lab Environment Connection Guide
Launch Jobs and Advanced Hadoop MapReduce
This course teaches how to work with sequence files, the distributed cache and Apache HBase. Covered are implementing programmatic job control in the driver, MapReduce chaining, and using Use Oozie to manage MapReduce workflows. Lastly, students are shown how to configure MapReduce streaming parameters and to define the programming contract for mappers and reducers.
This is the third course in the MapReduce Series from MapR.
What's Covered
| Course Lessons | Lab Activities |
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7: Working with Data Work with Sequence FilesWorking with the Distributed Cache Working with HBase |
Run a MapReduce Program Using HBase as Source |
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8: Launching Jobs Implement Programmatic Job Control in the DriverUse MapReduce Chaining Use Oozie to Manage MapReduce Workflows |
Write a MapReduce Driver to Launch Two Jobs |
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9: Using Non-Java Programs (Streaming MapReduce) Overview of the MapReduce Streaming ParadigmConfigure MapReduce Streaming Parameters Define the Programming Contract for Mappers and Reducers Monitor and Debug MapReduce Streaming Jobs |
Implement a MapReduce Streaming Application |
Get Certified
This course help to prepare you for the MapR Certified Hadoop Developer (MCHD) certification exam.
Prerequisites
- Completion of ESS 100 - 102, and DEV 300 and 301
- Beginner-to-intermediate fluency with Java or object-oriented programming in an IDE
- A Linux, PC or Mac with a MapR Sandbox downloaded