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Hadoop Course

Hadoop Course summary

The Apache™ Hadoop® project is an open-source software project that develops reliable, scalable, distributed computing. The Apache Hadoop software library is a framework. It provides fast and secure storage and retrieval of large data sets. It applies distributed processing of large data sets. The data sets are saved and distributed across clusters of computers using very simple programming models. This technology is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Hadoop Course Desciption

This course introduces the principles briefly as an general introduction to Apache Hadoop.

Concepts: Unstructured Database Concepts

The problem space and example applications
Why don’t traditional approaches scale?
Hadoop Background

Hadoop History
The ecosystem and stack: HDFS, MapReduce, 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)
MapReduce Introduction

Key philosophy: move computation, not data
Core concepts: Mappers, reducers, drivers
The MapReduce Java API (lab)
Real-World MapReduce

Optimizing with Combiners and Partitioners (lab)
More common algorithms: sorting, indexing and searching (lab)
Testing with MRUnit
Higher-level Tools

Patterns to abstract “thinking in MapReduce”
The Cascading library (practical)
§ The Hive database (practical)

What is included in the Hadoop Courses:
  • Hadoop Course Certificate on completion
  • Hadoop Course notes
  • Practical Hadoop Course exercises, Hadoop Course Homework / Hadoop Course Revision work
  • After the course, 1 free session for questions online Hadoop Course via
  • Max group size on this Hadoop Course is 4.
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