Data Refinery with MapReduce
Apache Hadoop 2.0
| Intermediate
- 13 Videos | 54m 55s
- Earns a Badge
MapReduce is a set of classes, which abstract away the complexity of parallel processing. Learn how MapReduce can take a single compute job and run it in our super computing platform.
WHAT YOU WILL LEARN
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define the principle concepts of key-value pairs and list the rules for key-value pairs
describe how MapReduce transforms key-value pairs
load a large text book and then run WordCount to count the number of words in the text book
label all of the functions for MapReduce on a diagram
match the phases of MapReduce to their definitions
set up the classpath and test WordCount
build a JAR file and run WordCount -
describe the base mapper class of the MapReduce Java API and describe how to override its methods
describe the base Reducer class of the MapReduce Java API and describe how to override its methods
describe the function of the MapReduceDriver Java class
set up the classpath and test a MapReduce job
identify the concept of streaming for MapReduce
stream a Python job
IN THIS COURSE
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1.Key-Value Pairs4m 22sUP NEXT
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2.MapReduce and Key-Value Pairs2m 15s
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3.WordCount, the Hello World of Hadoop2m 49s
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4.MapReduce9m 30s
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5.MapReduce Step-by-Step5m 26s
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6.Exploring Hadoop Classpath2m 50s
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7.Writing a MapReduce Job5m 45s
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8.The Mapper Java API2m 51s
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9.The Reducer Java API2m 35s
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10.The Driver Java API3m 2s
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11.Writing a MapReduce Job for Inventory5m 16s
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12.Hadoop Streaming3m 45s
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13.Running a Streaming Job4m 31s
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