Big data Developer Training in USA

Big data Developer Training with Hadoop in Magnific training.

Note: Placement Assistance and certification Training also Available.

Fpr more Details About Course Visit:

www.bigdataonlinetraining.net

Module: Thinking at Scale: Introduction to Hadoop
You know your data is big – you found Hadoop. What implications must you consider when working at this scale? This lecture addresses common challenges and general best practices for scaling with your data.

Module: MapReduce and HDFS
These tools provide the core functionality to allow you to store, process, and analyze big data. This lecture "lifts the curtain" and explains how the technology works. You'll understand how these components fit together and build on one another to provide a scalable and powerful system.

Module: Getting Started with Hadoop
If you'd like a more hands-on experience, this is a good time to download the VM and kick the tires a bit. In this activity, using the provided instructions, you'll get a feel for the tools and run some sample jobs.

Module: The Hadoop Ecosystem
An introduction to other projects surrounding Hadoop, which complete the greater ecosystem of available large-data processing tools
.
Module: The Hadoop MapReduce API
Learn how to get started writing programs against Hadoop's API.

Module: Introduction to MapReduce Algorithms
Writing programs for MapReduce requires analyzing problems in a new way. This lecture shows how some common functions can be expressed as part of a MapReduce pipeline.

Module: Writing MapReduce Programs
Now that you're familiar with the tools, and have some ideas about how to write a MapReduce program, this exercise will challenge you to perform a common task when working with big data - building an inverted index. More importantly, it teaches you the basic skills you need to write your own, more interesting data processing jobs.

Module: Hadoop Deployment
Once you understand the basics for working with Hadoop and writing MapReduce applications, you'll need to know how to get Hadoop up and running for your own processing (or at least, get your ops team pointed in the right direction). Before ending the day, we'll make sure you understand how to deploy Hadoop on servers in your own datacenter or on Amazon's EC2.