Hadoop Online Training

Hadoop Training Online

Looking for HADOOP Online Training? Brightening career aspects in Apache HADOOP, We are providing the best HADOOP online training by Certified HADOOP consultants.

There are plenty of opportunities in HADOOP course. HADOOP is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Scaling up from Single server to thousands of machines is easy with HADOOP course.

Contact us

Call: +91 978-996-8765 / 044 4264 5495

HADOOP Online Training Course

In HADOOP Online Training, We cover the basic to advance levels of the program. Starting from the problem space we cover all areas of the HADOOP Course. In HADOOP Online training we cover History of the HADOOP, Development environment, HDFS Introduction, MAP Reduce and High level tools.

We offer Online training on Hadoop Big Data Course. In the course We cover online training of HADOOP we cover Development, Administration, Architect Training.

What you learn with this course:

  • Hadoop – Architecture
  • Understand HDFS and Mapreduce – Deep Dive
  • Building Applications using mapreduce
  • Verify, Evaluate and test your Mapreduce applications
  • Exploring mapreduce combiners, Partitioners, distributed cache
  • Tips & Tricks for debugging and building mapreduce applications
  • Learn joining data sets, How hadoop integration to data center
  • Exploring Various algorithms involved in hadoop
  • Build super fast applications using Hive and Pig.
  • Oozie techniques for building large workflows.

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.

 Contact us

 Call: +91 978-996-8765 / 044 4264 5495