Big Data Developer-Hadoop
Rationale for the Program/Course
- The Big Data and Hadoop training course is designed to enhance your knowledge and skills to become a successful Hadoop developer
- In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases
- Hadoop has established itself as an industry-leading platform for deploying cloud-based applications and services.
- Learn the core techniques and concepts of Big Data and Hadoop ecosystem
- Provide a practical approach to developing Java applications on top of the Hadoop platform.
- Course curriculum is as per international standards and courseware and lab exercises are designed using the latest instructional design standards
Target population and entrance requirements
Graduation (or) 3 years technical Diploma
Delivery mode
Face To face
Program /Course Expected Outcomes
- Job oriented curriculum
- Proficiency in developing android applications
Key Facilitation/Learning Methods
- Instructor Led Training (ILT) or Virtual Instructor Led Training (VILT)
- Hands-on training
- Assignments & Case Studies
Key Assessment Methods
- Recording and tracking of the assessment process through Assessment Management System (AMS)
- Assignment Briefs
- Practical Examination
Job Profiles
- MAP Reduce Application Developer
- HADOOP Administrator
- Custom Hadoop Application Developer
- Data Scientist
- Sr. Manager - Data Integration
- Big Data Architect
- Hadoop Architect
Global Certifications Applicable
- Big Data
- Hadoop
Title of Award:
Big Data Developer-Hadoops
Level:IT skill Program / Occasional courses
Notional Learning time (Hours): 200 hrs
Information on benchmarking
- The domain knowledge and technical expertise of Sky Vision faculty enhances the quality and the understandability of the technology.
- Sky Vision has a team of technology analysts who help us constantly identify, analyze and incorporate the latest technology trends into our courses.
- We provide practical, hands on training and unique classroom lab facility to enable students to experience and improve the application skills
- We provide students with the best courseware that are exclusively designed to meet standards of quality, relevance, recognition and understandability.
- E-learning materials are used for students’ in-depth understanding
Assessment
- The assessment can be conducted both through theoretical and practical ways.
- For all the topics the trainer can assign both the theory questions and practical based questions in order to know the conceptual understanding of the student.
- Presentation and report writing on selected topics are added to the assessment of the students.
References and Bibliography
- Hadoop: The Definitive Guide 4th Edition by Tom White
- Professional Hadoop Solutions by Boris Lublinsky (Author), Kevin T. Smith (Author) & Alexey Yakubovich (Author)
- Hadoop Explained by Aravind Shenoy (Author)
- Big Data: Principles and best practices of scalable realtime data systems by Nathan Marz (Author) & James Warren (Author)
- Pro Apache Hadoop 2nd Edition by Jason Venner (Author), Sameer Wadkar (Author) & Madhu Siddalingaiah (Author)
- Hadoop in Practice 2nd Edition by Alex Holmes (Author)
- Hadoop Operations 1st Edition by Eric Sammer (Author)
- Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger and Kenneth Cukier
- Big Data Now: 2012 Edition by O'Reilly Media Inc.
- http://www.ibmbigdatahub.com
- http://www8.hp.com/us/en/developer/haven.html
- http://careerlancer.net/freelance-big-data-developer/
