Hadoop training USA | Magnific training

The Developing Solutions using Apache Hadoop training course is designed for Java developers who want to better understand how to create Apache Hadoop solutions - Hadoop training USA

See more at: http://bigdataonlinetraining.com

The process of taking a Hadoop project from conception to completion

Best practices for using Hadoop most effectively towards providing solutions

MapReduce training: Including how to write a MapReduce program using the Hadoop API

HDFS training: Including effective loading and processing of data with CLI and API

How to effectively debug, monitor and optimize Hadoop solutions.

Over 15 hands-on training exercises using HDFS, Pig, Hive, HBase, key MapReduce components and features (e.g. mapper, reducer, combiner, partitioner and streaming) and more

- See more at: http://bigdataonlinetraining.net/

Hadoop Training Course Content:

1. Understanding Big Data – What is Big Data ?

• Real world issues with BIG Data – Ex: How facebook manage peta bytes of data.

• Will regular traditional approach works?

2. How Hadoop Evolved

• Back to Hadoop evolution.

• The ecosystem and stack: HDFS, MapReduce, Hive, Pig…

• Cluster architecture overview

3. Environment for Hadoop development

• Hadoop distribution and basic commands

• Eclipse development

4. Understanding HDFS

• Command line and web interfaces for HDFS

• Exercises on HDFS Java API

  
  
  
  
  

5. Understanding MapReduce

• Core Logic: move computation, not data

• Base concepts: Mappers, reducers, drivers

• The MapReduce Java API (lab)

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. Higher-level Tools

• Patterns to abstract “thinking in MapReduce”

• The Cascading library (lab)

• The Hive database (lab)

Interested ? Enroll into our online Apache Hadoop training program now.