Introduction to Big Data and Hadoop Ecosystem is for novice programmers or business people who would like to understand the core tools and technologies used to wrangle and analyse big data. This course doesn’t require any prior experience, you will have the opportunity to walk through hands-on examples with Hadoop 2 frameworks, most common in the industry today. After this course you will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the project you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. In this interactive online sessions you’ll feel empowered to have conversations about big data and the data analysis process.

After successfully completing this course and capstone project participants will be awarded with certificate.

Preliminary Requirement –
To understand the concepts of Big Data and Hadoop ecosystem, A basic understanding of java is required which will be covered by providing complementary sessions.

Java:
# Java Oops principles
# Variables, data types and Controls
# Classes and objects
# Constructors
# Inheritance-this and super
# Wrapper classes
# String class
# Collections
# Generics

Project Work
Two real-world projects using Sqoop, Hive, Flume, Spark and HDFS.

Frequently Asked Questions:

Who should take this Big Data Hadoop Training Course?

Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training is best suited for IT, data management, and analytics professionals looking for having expertise in Big Data, including:

# Software Developers and Architects
# Analytics Professionals
# Senior IT professionals
# Testing and Mainframe Professionals
# Data Management Professionals
# Business Intelligence Professionals
# Project Managers
# Aspiring Data Scientists
# Graduates looking to build a career in Big Data Analytics

How will Big Data Training help your career?

Big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill growing job opportunities. Some trends in big data include:

• Global Hadoop Market to Reach $84.6 Billion by 2021 – Allied Market Research
• Shortage of 1.4 -1.9 million Hadoop Data Analysts in the US alone by 2018– McKinsey
• Hadoop Administrators in the US receive salaries of up to $123,000 – indeed.com

Why Learn Big Data and Hadoop?

The world is getting increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is going to continue growing in the coming years. Choosing a career in the field of big data and analytics might just be the type of role that you have been trying to find to meet your career expectations.

Professionals who are working in this field can expect an impressive salary, with the median salary for data scientists being $116,000. Even those who are at the entry level will find high salaries, with average earnings of $92,000. As more and more companies realize the need for specialists in big data and analytics, the number of these jobs will continue to grow. Close to 80% of data scientists say there is currently a shortage of professionals working in the field.

What are the pre-requisites for this Hadoop Training Course?

There are no prerequisites for learning this course. However, knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush up your Core-Java skills. Aiuto offers a complimentary sessions on Java which are essential for learning Hadoop