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MapReduce is said to be programming model that is used for processing big data sets with a parallel and a distributed algorithm in a cluster. A MapReduce program is composed of a Map () procedure that performs filtering and sorting and a Reduce () procedure that performs a summary operation. A MapReduce job usually splits the input data-set into independent chunks which are processed in a completely parallel manner. The framework sorts the outputs of the maps, which are then input to the reduce tasks. Both the input and the output of the job are stored in a file-system. MapReduce is available in several languages, including C, C++, Java, Ruby, Perl and Python.
We at Benchfolks have trainers who offer MapReduce training on the lines of Hadoop system and how it fits in the Hadoop cluster. The trainers are world class trainers associated with global multinationals across the globe who also offer Online Training and real time Bigdata, MapReduce classes. AT the end of the course the learners will be working to work with a live project where they will be using Apache Hadoop and using MapReduce code implementation.
MapReduce course contents
The course explains the use of the mapper reducer classes that forms a MapReduce application and where they get invoked in the application. The users also get a walkthrough of the development of a simple MapReduce application using a development environment based on Eclipse and using a MapReduce development wizard to speed up development. The topics are an Overview of Hadoop Ecosystem, MapReduce Concepts such as MapReduce, Ordering, Concurrency, Shuffle, Reducing, Concurrency, Hadoop Distributed File System (HDFS) Concepts, MapReduce Execution Framework, Partitioned, Combiner, Data Types and Key pairs.
After completion of this Hadoop MapReduce Training online as well as offline the user will be able to Gain in-depth understanding of Hadoop and MapReduce Concepts, implement MapReduce and Yarn Integration and Learn to write complex Hadoop MapReduce programs in both MRv1 and Mrv2. You can refer to our MapReduce training page for more details regarding the trainers, their course contents and what they offer etc. It is good that the user has a good understanding of the basics of Core Java and prior exposure to any of the Linux operating systems.
We have tie up with Companies who provide placement assistance and Hadoop MapReduce certification after the completion of the course with us. Certification is a great differentiator as it helps to establish you as a leader in the field thus providing the employers who will be hiring you and customers with tangible evidence of your skills and expertise in the subject.
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