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1. Big data Analytics online training
Magnific training
Call : 9052666559
www.hadooponlinetraining.net
2. • Course Contents:
• 1. Big Data
• The problem space and example applications
• Why don’t traditional approaches scale?
• Requirements
3. • 2. Hadoop Background
• Hadoop History
• The ecosystem and stack: HDFS, MapReduce,
Hive, Pig…
• Cluster architecture overview
4. • 3. Development Environment
• Hadoop distribution and basic commands
• Eclipse development
• 4. HDFS Introduction
• The HDFS command line and web interfaces
• The HDFS Java API (lab)
5. • 5. MapReduce Introduction
• Key philosophy: move computation, not data
• Core concepts: Mappers, reducers, drivers
• The MapReduce Java API (lab)
6. • 6. Real-World MapReduce
• 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
7. • 7. Higher-level Tools
• Patterns to abstract “thinking in MapReduce”
• The Cascading library (lab)
• The Hive database (lab)