MapReduce Course Overview
MapReduce is a programming model for processing large amounts of data in a parallel and distributed fashion. MapReduce programs are designed to compute large volumes of data in a parallel fashion. This requires dividing the workload across a large number of machines.The communication overhead required to keep the data on the nodes synchronized at all times would prevent the system from performing reliably or efficiently at large scale.
Why to attend Tekslate Online Training ?? Classes are conducted by Certified MapReduce Working Professionals with 100 % Quality Assurance. With an experienced Certified practitioner who will teach you the essentials you need to know to kick-start your career on MapReduce. Our training make you more productive with your MapReduce Online Training. Our training style is entirely hands-on. We will provide access to our desktop screen and will be actively conducting hands-on labs with real-time projects.
MapReduce Training Curriculum
Basic concept of OOPS
Object, Class, Attributes, Inheritance, Aspects of Java
Creation of Project, Class, Package
Java-Eclipse, How to Create New java project, How to create New java Class, Hello World program, How to run this program, Types of integer, Class creation & name given, Create object, Creation of package
What is java Inheritance
Sub-class & super Class, Map-Reducing in Inheritance
What is overloading & overriding
What is method of overloading, overloading modify, Difference between overloading & overriding, Method of overriding
Basic concept of abstract, Abstract class demo, Class extends, Difference between Abstract & concrete class, Implementation of abstract class in java, Difference between JRE & JBM
Word count example, Exception, Tool runner, Mapper, Map method, Sum reducer
What is Map Phase?
Introduction and characteristics of big data, Introduction of Hadoop and its work, What is HDFS and its explanation with example, Introduction to Map Reduce?, What is Map Phase?, What is Reduce Phase?
Introduction to Hadoop ecosystem, How Hadoop solve problem of typical distributed system, What is Sqoop and its working, What is Qozie and its working, What is Pig and its working, What is Flume and its working, What is Hive and its working, HDFS Storage Mechanism, How files are Stored / Read / Written in HDFS, Understanding Demons
Hadoop installation, Introduction to Mapreduce and HDFS
How to develop Mapreduce Application
MapReduce job Execution, MapReduce,Combiner, MapreducePartitioner, Shuffle & Sort Phase, Map Reduce in detail, Comparison b/w YARN and MRV1, Cloudera Developer Certification Overview
How to develop Mapreduce Application
Hands on Exercises on Map Reduce, Introduction to Mapper, Box classes and Reducer, Input Formats and Output Formats, How to filter File Inputs, How to work on amazon cluster
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19 September, 2020