What is Apache Hadoop ? Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines. It is a open-source software for reliable, scalable, distributed computing.
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Apache Hadoop Online Training Development Developer Official Support Partner Services Company Solution Course Content :
Hadoop Development Fundamentals Training Development Developer Official Support Partner Services Company Solution Course
- The problem space and example applications
- Why don’t traditional approaches scale?
- Hadoop History
- The ecosystem and stack: HDFS, MapReduce, Hive, Pig…
- Cluster architecture overview
- Hadoop distribution and basic commands
- Eclipse development
- The HDFS command line and web interfaces
- The HDFS Java API (lab)
- Key philosophy: move computation, not data
- Core concepts: Mappers, reducers, drivers
- The MapReduce Java API (lab)
- Optimizing with Combiners and Partitioners (lab)
- More common algorithms: sorting, indexing and searching (lab)
- Relational manipulation: map-side and reduce-side joins (lab)
- Chaining Jobs
- Testing with MRUnit
- Patterns to abstract “thinking in MapReduce”
- The Cascading library (lab)
- The Hive database (lab)