What is this course about
GreyCampus provides Online self-learning course on Big Data and Hadoop Development. The course starts with an introduction to the Big Data Eco System, the need for Big Data and its applications. It then moves on to Hadoop Architecture, Map-reduce framework, starting with installations, and explores other technologies like Pig, Hive, HBase, ZooKeeper, Oozie, and Flume. The course is designed with multiple assignments, quizzes and a project. Participants who successfully complete the project would be eligible for the certification.
What is Big Data?
Every day, we create 2.5 quintillion bytes of data. This data comes from everywhere i.e. from sensors, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals etc. If the data generation is increasing day by day then it will become more complex to store and process these datasets via traditional approaches.
Defining Big Data:
Big data means the huge amount of data which is beyond the processing capability of traditional data management system to manage and analyse the data in a specified time span.Big Data comes from many sources, some of them are digital media, online transaction records, mobile phone signals etc.
For example, if you have 10TB(Tera Byte) of image files, upon which some processing needs to be done such as resizing and enhancement of images within the given time frames. If you use the traditional systems to perform this task you would not able to accomplish this task within the given timeframe because the computing resources of the traditional system would not be sufficient to accomplish this task. So, these 10 TB of data is referred to as Big Data.
The main challenge of Big Data is storing and processing the data at a specified time span. To perform this task using traditional conventional methods is not good practice. In order to get rid of this traditional approach to analyse and store the Big data, Hadoop technology is developed.
Benefits of Certification:
As per some recent strategies, many organisation were not be able to meet the demands of the customer due to the complexity of data to analyse and process the data. To avoid these type of issues, Organisations are implementing Big Data technologies. Across all regions of the world, 53% of the 1,217 companies had undertaken at least one Big Data initiative.
Organisations need skilled Big Data professionals to improve efficiency and to enhance the business. In the Big Data industries, big data professional’s designation is based on two perspectives that is those who processed the data and those who store the data. Becoming a Big Data professional, will have many benefits such as Career growth, better salary, Better job opportunities, upgrade to new technologies and you will be hired by various big companies.
About Big Data Developer
Prerequisites to become a Big Data Developer:
Big Data Developer is the one who loves programming. He/she needs to have a knowledge of core Java, SQL and any scripting language along with good interpersonal skills. Big data developer is responsible for the actual coding or programming of Hadoop applications. This role is similar to that of a Software Developer.
Skills required to become a Big data developer:
? Knowledge related to Hadoop.
? Good knowledge in back?end programming, specifically Java, JS, Node.js and OOAD
? Good knowledge of database structures, theories, principles, and practices.
? Ability to write MapReduce jobs.
? Analytical and problem solving skills
? High?performance, reliable and maintainable code writing skills.
? Good aptitude in multi?threading and concurrency concepts.
? Proven understanding with Hadoop,Hive, Pig, and HBase.
Roles and Responsibilities of Big Data Developer:
Big Data Developer roles and responsibilities are almost same as software developer who is responsible to program Hadoop applications in the Big Data domain.
? Designing, building, installing, configuring and supporting Hadoop
? Maintain security and data privacy
? High?speed querying.
? Proposing design changes and suggestions to processes and products
? Managing and deploying HBase.
? Perform analysis of vast data stores and uncover insights.
? Hadoop development and implementation.
? Working on disparate data sets.
? Create scalable and high?performance web services for data tracking.
After completing the course successfully, participants should be able to:
• Understand the need for Big Data, and its applications.
• Demonstrate the mastery of HDFS concepts and MapReduce framework
• Use Sqoop and Flume to load data into Hadoop File System
• Run queries using Pig and Hive
• Install and configure HBase
• Discuss and differentiate various commercial distributions of Big Data like Cloudera and Hortonworks
The Big Data and Hadoop Programming Course will cover:
• Introduction to Big Data and Hadoop
• Getting started with Hadoop
• Architecture of Hadoop - HDFS and MapReduce
• Configuring Hadoop Environment on Ubuntu
• Different modes of installation - Pseudo Distributed Mode, Standalone mode, Fully Distributed Mode
• MapReduce Framework
• Advanced MapReduce
• Hadoop Ecosystem
• Installing and Configuring Pig
• Pig Vs SQL
• Installing and Configuring HBase
• Hive Query Language
• Installing and Configuring HBase
• HBase Region Servers
• Distributed Applications and Challenges
• NoSQL movement - Introduction to MongoDB
• Basics of Hadoop Administration
One Year Access
Participants will have access to GreyCampus learn platform for a period of one year, this includes access to the Course PPTs, reading material, quizzes, assignments, project and class videos
Hands on Project
At the end of the course participants should submit a project which covers all the key aspects of the course. This allows them to implement techniques they learnt in the course
After completing 30 hrs of training participants will be provided a Project which they have to submit within 15 days. A successful completion of the project would make the participants eligible for the GreyCampus certificate.
Desired Course Seeker Profile
Various job roles:
Today the entire focus of enterprises is on Big Data. So, Big Data industries are attracting many experienced and talented software engineers who are technically proficient and most importantly are passionate about what they do. Here are some of the jobs and roles in Big Data Industry:
? Big Data Developer
? Big Data solution Architect
? Big Data/Hadoop Test Engineers
? Hadoop Administrator
? Data Scientist
? Big Data Analyst
? Big Data Researcher
? Big Data Manager
Career Opportunities for Big Data Developer:
Undoubtedly, the striking advantages of Big Data technologies have made many companies adopt this technology, eventually leading to great demand for Hadoop professionals in every domain. So, the job market is very lucrative for people with Hadoop skills and is accelerating at an increasing pace.