What is MapReduce?
MapReduce is a processing technique built on divide and conquer algorithm. It is made of two different tasks - Map and Reduce. While Map breaks different elements into tuples to perform a job, Reduce collects and combines the output from Map task and fetches it.
What is Mapreduce and How it Works?
MapReduce is the processing engine of the Apache Hadoop, that was directly derived from the Google MapReduce. The MapReduce application is written basically in Java. It conveniently computes huge amounts of data by the applications of mapping and reducing steps in order to come up with the solution for the required problem. The mapping step takes a set of data in order to convert it into another set of data by breaking the individual elements in to key/value pairs called tuples. The second step of reducing takes the output derived from the mapping process and combines the data tuples into a smaller set of tuples.
MapReduce is a hugely parallel processing framework that can be easily scaled over massive amounts of commodity hardware to meet the increased need for processing larger amounts of data. Once you get the mapping and reducing tasks right all it needs a change in configuration in order to make it work on a larger set of data. This kind of extreme scalability from a single node to hundreds and even thousands of nodes is what makes MapReduce a top favorite among Big Data professionals worldwide.
- Enables parallel processing required to perform Big Data jobs
- Applicable to a wide variety of business data processing applications
- A cost-effective solution for centralized processing frameworks
- Can be integrated with SQL to facilitate parallel processing capability
What are the objectives and learning outcomes of mapreduce training online?
MapReduce course curricula deal with the concepts of implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. The framework takes care of scheduling tasks, monitoring them and re-executing any failed tasks. The course incorporates the below key business concepts.
Basic concept of OOPS
Creation of Project, Class, Package
Map-Reducing in Java Inheritance
Method of overloading and Overriding
Basic concepts of abstraction
Programming in MapReduce
Developing MapReduce Application
Mindmajix MapReduce Training explores each topic through the lens of a real-world example application. With plenty of examples, tips, and clear explanations, you’ll master many advanced aspects of MapReduce.
Mindmajix Self-Paced Training and What are its Benefits:
The Mindmajix Sellf-Paced Training is for candidates who enjoy learning at their own pace. Our Self-Paced program is comprised of :
Provision to one-on-one sessions,
24/7 Live Support,
Time-to-time doubt clearance.
All these features come as a benefit for the trainees attempting the training.
Why to Choose Mindmajix for MapReduce Training?
Mindmajix courses are perfectly designed for individuals seeking further professional recognition and independent certification to enhance their course outcome and qualities. We are renown for building pathways to successful careers and with over 5 years of certification program, we have acquired the needed experience to partner with you in the development and delivery of a recognized and sustainable career for your profession.
Mindmajix MapReduce Training helps you to learn implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. The framework takes care of scheduling tasks, monitoring them and re-executing any failed tasks.
Classes are conducted by Certified MapReduce Working Professionals with 100 % Quality Assurance.
-Flexible Timings | Certified & Industry Experts Trainers
-Multiple Training Delivery Models | Customize Course
-24/7 Support | Hands-On Experience
-Real-Time Use Cases | Q&A with Trainers
-Small Batches (1to5) | Flexible Payments
-Job Support | Placement Assistance
USA: +1-201 3780 518 ; +1 972-427-3027
Web Site: https://mindmajix.com/mapreduce-training
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