Performance Tuning Best Practices
Apache Hadoop 1.0
| Intermediate
- 11 videos | 1h 14m 37s
- Includes Assessment
- Earns a Badge
Hadoop can scale up from single servers to thousands of machines, each offering local computation and storage. Discover performance tuning concepts, including compression, tune up options, and memory optimization.
WHAT YOU WILL LEARN
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Recall the three main functions of service capacity
Describe different strategies of performance tuning
List some of the best practices for network tuning
Install compression
Describe the configuration files and parameters used in performance tuning of the operating system
Describe the purpose of java tuning -
Recall some of the rules for tuning the data node
Describe the configuration files and parameters used in performance tuning of memory for daemons
Describe the purpose of memory tuning for yarn
Recall why the node manager kills containers
Performance tune memory for the hadoop cluster
IN THIS COURSE
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6m 9s
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9m 51s
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3. Examining Best Practices for Network Tuning4m 35s
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4. Installing Compression10m 9s
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5. Examining Operating System Tune Up Options5m 49s
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6. Examining Java Tune Up Options5m 41s
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7. Examining Input and Output Tune Up Options3m 45s
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8. Optimizing Memory for Daemons3m 21s
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9. Optimizing Memory for YARN5m 58s
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10. Optimizing Memory for Containers6m 55s
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11. Tuning Memory for Hadoop Clusters12m 23s
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