15 First Street Padmanabha Nagar, Adyar, Chennai
Hadoop Training in Chennai
Lear Hadoop, from the Bes Hadoop training center in Chennai. Our Hadoop course covers Hadoop 2.0 Administration. The course content, quizzes, assignment, labs, and hands on practical's have been updated to cover new features in Hadoop 2.0, namely YARN, NameNode High Availability, HDFS Federation, Snapshot from understanding Big Data to developing MapReduce code on the data in HDFS
Hadoop Courses in Chennai
- Big Data Analytics using Hadoop
- Expertise in Hadoop Ecosystem
- Hadoop Admin Level of Training
- Hadoop Architect Level of Training
- NoSql Architect Level of Training
We are now tied up with Top MNC for resource consulting & Placements for numerous Big Data Projects in Pipeline.
Join us! Get into Big Data Market. Another reason to Join the Experts! Visit us Today!
Big Data - Hadoop Training on,
- Architect Training Course
- What is Big Data & Why Hadoop?
- Hadoop Overview & its Ecosystem
- HDFS – Hadoop Distributed File System
- Map Reduce Anatomy
- Developing Map Reduce Programs
- Advanced Map Reduce Concepts
- Advanced Tips & Techniques
- Monitoring & Management of Hadoop
- Using Hive & Pig (Advanced)
- PIG & Sqoop
- Cloudera’s CDH
- Cloudera’s Impala
- Hortonworks HDP
- Hadoop Best Practices and Use Cases
After the completion of the Big Data and Hadoop Course at Hadoop Solutions, you should be able to:
- Master the concepts of Hadoop Distributed File System
- Setup a Hadoop Cluster
- Write MapReduce Code in Java
- Perform Data Analytics using Pig and Hive
- Understand Data Loading Techniques using Sqoop and Flume
- Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing
- Have a good understanding of ZooKeeper service
- Use Apache Oozie to Schedule and Manage Hadoop Jobs
- Implement best Practices for Hadoop Development and Debugging
- Develop a working Hadoop Architecture
- Work on Big Data Analytics and gain Hands on Project Experience
Levels of Training:
- 1. Big Data Analytics using Hadoop
- 2. Expertise in Hadoop Ecosystem
- 3. Big Data Architect
- 4. NoSQL Architect - Cassandra & MongoDB
- 5. Data Science Course
Who should go for this course?
Big Data is the most sought skill in the software industry today! Hadoop and NoSQL will drive the software industry of the future. All companies will need experts who can analyse large data volumes and mine insights. Achieve a competitive edge over your peers by knowing Hadoop and NoSQL data.
This course is designed for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of Hadoop Architecture can also opt for this course.
To know further details, information on group discounts, In-house training, consulting and corporate nominations for the training, Please call us @ 89399 15577 / 89399 25577
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.
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.
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.