Cluster Performance Tuning
Apache Hadoop 1.0
| Intermediate
- 13 videos | 1h 17m 12s
- Includes Assessment
- Earns a Badge
Hadoop can scale up from single servers to thousands of machines, each offering local computation and storage. Examine tune up options, best practices for performance tuning, HDFS, YARN and MapReduce.
WHAT YOU WILL LEARN
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describe the configuration files and parameters used in performance tuning of HDFSdescribe the sizing and balancing of the HDFS data blocksdescribe the use of TestDFSIOperformance tune HDFSdescribe the configuration files and parameters used in performance tuning of YARNconfigure speculative executiondescribe the configuration files and parameters used in performance tuning of MapReduce
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tune up MapReduce for performance reasonsdescribe the practice of benchmarking on a Hadoop clusterdescribe the different tools used for benchmarking a clusterperform a benchmark of a Hadoop clusterdescribe the purpose of application modellingoptimize memory and benchmark a Hadoop cluster
IN THIS COURSE
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3m 18s
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4m 21s
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2m 14s
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11m 31s
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6m 40s
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2m 55s
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3m 7s
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5m 5s
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7m 42s
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4m 29s
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11m 53s
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8m 33s
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5m 26s
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Channel
Wintellect Apache Hadoop