Hadoop Design Principles
Apache Hadoop 2.0
| Intermediate
- 11 videos | 42m 45s
- Includes Assessment
- Earns a Badge
Hadoop's HDFS is a highly fault-tolerant distributed file system suitable for applications that have large data sets. Explore the principles of supercomputing and Hadoop's open source software components.
WHAT YOU WILL LEARN
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recall the design principles of Hadoop
describe the design principles of sharing nothing
describe the design principles of embracing failure
describe the components of the Hadoop Distributed File System (HDFS)
describe the four main HDFS daemons
describe Hadoop YARN -
describe the roles of the Resource Manager daemon
describe the YARN NodeManager and ApplicationMaster daemons
define MapReduce and describe its relations to YARN
describe data analytics
describe the reasons for the complexities of the Hadoop Ecosystem
IN THIS COURSE
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4m 17s
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3m 12s
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3. The Principle of Embracing Failure4m 22s
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4. Hadoop Distributed File System (HDFS)4m 46s
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5. Introducing HDFS Daemons3m 23s
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6. Introducing Hadoop YARN3m 37s
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7. YARN Daemons on the Master Server2m 33s
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8. YARN Daemons on the Data Server3m 9s
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9. Introducing MapReduce2m 30s
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10. Introducing Data Analytics4m 54s
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11. Mastering the Hadoop Ecosystem6m 3s
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