Syllabus
Big Data
- The problem space and example applications
- Why don't traditional approaches scale?
- Requirements
Hadoop Background
- Hadoop History
- The ecosystem and stack: HDFS, Map Reduce, Hive, Pig…
- Cluster architecture overview
Development Environment
- Hadoop distribution and basic commands
- Eclipse development
HDFS Introduction
- The HDFS command line and web interfaces
- The HDFS Java API (lab)
Map Reduce Introduction
- Key philosophy: move computation, not data
- Core concepts: Mappers, reducers, drivers
- The Map Reduce Java API (lab)
Real-World Map Reduce
- Optimizing with Combiners and Practitioners (lab)
- More common algorithms: sorting, indexing and searching (lab)
- Relational manipulation: map-side and reduce-side joins (lab)
- Chaining Jobs
- Testing with MRUnit
Higher-level Tools
- Patterns to abstract "thinking in Map Reduce"
- The Cascading library (lab)
- The Hive database (lab)
Certification
Executive Program in Bigdata and Hadoop
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Testimonials
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Enrolled here for the course of Linux, trainers are highly qualified with great experience, staffs were quite helpful Kavita and Alka.
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Artifical Training content was very helpfull for me to get the job. Teaching and explanation was very good.Good experience overall.
Instructors and Experts
Learn from India's Best leading Faculty and Industry Leaders
Sanjeev Singh
EXP 18+Sameer
EXP 15+Satwik Muthappa
EXP 15+Mujaheed
EXP 12+Contact Us
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