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Comprehensive MapReduce Certification Training
4.5( 4 REVIEWS )
147 STUDENTS
Overview Do you know how many world-class organisations are using MapReduce? Companies such as Alibaba, eBay, AOL, LinkedIn, and Twitter …
Overview
Do you know how many world-class organisations are using MapReduce? Companies such as Alibaba, eBay, AOL, LinkedIn, and Twitter are harnessing the power of MapReduce professionals to boost their competitive advantages. This Comprehensive MapReduce Training designed by experts gives you all the competencies and skills to use the MapReduce framework. These concepts will allow you to quickly solve the use cases and provide a great starting point to enter the extensive data career.
The Comprehensive MapReduce Certification Training aims to facilitate all individuals and organisations seeking to optimise big data and implement different MapReduce frameworks efficiently. This course will teach you to write efficient code. You will build a wealth of knowledge in addition to practical skills for using the advanced features of the framework.
The Comprehensive MapReduce Certification will allow you to open new doors and avenues in the current IT/big data industry. You can brighten your future career prospects with the MapReduce learning course at your own pace.
Why You Should Take This Training at Study365?
Study365 is a leading online provider for several accrediting bodies and provides learners with the opportunity to take this exclusive course awarded by Edureka. At Study365, we give our fullest attention to our learners’ needs and ensure they have the necessary information to proceed with the Course.
Learners who register will be given excellent support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships, and their favourite restaurants.
- Access Duration
- Who Is This Course For?
- Entry Requirements
- Certification
- Awarding Body
- Method of Assessment
- Career Path & Progression
The course will be directly delivered to you, and you have 12 months of access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lessons at any time.
This course is recommended for flourishing their careers as:
- Analytics Managers
- Java Developers
- Software Professionals
- Project Managers
- Learners should have a basic know-how of English, ICT, and numeracy.
- Anyone above 16 years with a sound educational background can take this course.
- Knowledge of the basic MapReduce framework is helpful.
Upon the successful completion of the course, you will be awarded the Comprehensive MapReduce Certification by Edureka.
Edureka is the fastest-growing online learning platform with a trusted name in the industry. The platform has the highest course completion rate and turns beliefs into realities by ridiculously committing to their students. Edureka collaborates with Study365 and many other educational bodies to provide guaranteed learning and success to global students & professionals.
To successfully obtain the certification of MapReduce from Edureka, you will have to submit an assignment that should demonstrate your familiarity with the particular subject and test your ability to apply it in the real world.
This Comprehensive MapReduce Certification Training transforms you into a knowledgeable industry professional to enhance your candidature for competitive jobs related to big data and analytics. Studying further courses in this domain will boost your competencies.
Given below are job titles you can compete for, along with the average UK salary per annum, according to https://www.glassdoor.com.
- Analytics Manager - £80,000 (Approximately)
- Project Manager - £70,000 (Approximately)
- Data Governance Manager- £69,200 (Approximately)
- Data Governance Analyst- £52,400 (Approximately)
Course Curriculum
| 1. Hadoop MapReduce Framework - I | |||
| MapReduce Use Cases | |||
| Traditional way Vs MapReduce way | |||
| Why MapReduce | |||
| Hadoop 2.x MapReduce Architecture | |||
| Hadoop 2.x MapReduce Components | |||
| YARN MR Application Execution Flow | |||
| YARN Workflow | |||
| Anatomy of MapReduce Program | |||
| Demos on MapReduce | |||
| 2. Hadoop MapReduce Framework - II | |||
| Input Splits in MapReduce | |||
| Combiner, Partitioner | |||
| Demos on MapReduce | |||
| 3. Advance MapReduce | |||
| Counters | |||
| Distributed Cache | |||
| MRunit | |||
| Reduce Join | |||
| Custom Input Format | |||
| Sequence Input Format | |||
Cameron Kaur
A really knowledgeable course that has been delivered in a great manner.
Rory Kaur
I learned how the different frameworks of MapReduce can be used in order to get ahead of your business competition.
Glen Powell
The course has really shown how big data can be managed easily and in an effective manner.
Vic Duncan
Concepts of Parallel data processing made easy and simple to understand. Good job.