Hadoop Training in Chennai

Meet the Instructor: Vinod Jain

I am a Senior Instructor with Hadoop University, which means I am a road warrior: I will travel anywhere to teach anything to anyone. I teach all the courses Bigdata offers, including custom private training events that I run at customer sites. Right now, I’m especially enjoying teaching Bigdata’s new course, Introduction to Data Science: Building Recommender Systems. In tandem with the rollout of the course, we’re developing Cloudera Certified Professional: Data Scientist exams, which will include a challenging performance-based lab component in addition to the written test.

Prior to Bigdata, I primarily came from a database background. My first corporate job was at Oracle just before it went public. I spent a year producing Oracle’s first batch of course materials for developers and database administrators and then spent several years teaching all kinds of people all over the world. For some time, I was an Oracle Database Administrator. I eventually moved on to the LAMP code stack, and I later worked for MySQL.

Hadoop and Big Data

Apache Hadoop is 100% open source, and pioneered a fundamentally new way of storing and processing data. Instead of relying on expensive, proprietary hardware and different systems to store and process data, Hadoop enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data, and can scale without limits. With Hadoop, no data is too big. And in today’s hyper-connected world where more and more data is being created every day, Hadoop’s breakthrough advantages mean that businesses and organizations can now find value in data that was recently considered useless.

Why Cloudera

Everyone knows that data volumes are growing exponentially. What’s not so clear is how to unlock the value it holds. The answer is Cloudera, the Platform for Big Data. With a single, integrated enterprise-class solution, Cloudera lets you efficiently query all of your data - structured and unstructured - and have a view beyond data sitting in relational databases. Equally important, Cloudera's platform runs in real time, so you can work at the speed of thought as you build rapidly on deep insights, create competitive advantage and become truly data-driven.

What is Big Data?

Everyday, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. Gartner defines Big Data as high volume, velocity and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.

According to IBM, 80% of data captured today are unstructured, from sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals, to name a few. All of this unstructured data is Big Data.

What does Hadoop solve?

Organizations are discovering that important predictions can be made by sorting through and analysing Big Data.However, since 80% of this data is "unstructured", it must be formatted (or structured) in a way that makes it suitable for data mining and subsequent analysis.Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes.

Pre-requisites

Some of the prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop. We provide a complimentary Course "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training. This course helps you brush up your Java Skills needed to write Map Reduce programs.

We are not just a training institute but we believe that the training is at the core of strengthening the technical skills to meet the industry right job at right time and to facilitate assured careers.