What you'll learn:
- Basics of big data
- History of Hadoop
- Difference between RDBMS and Hadoop
- Cluster Modes in Hadoop
- HDFS Daemons and Mapreduce daemons
- HADOOP CLUSTER ARCHITECTURE
- HDFS Commands
- Combiner & Partitioner
- Mapreduce
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
This basic course provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.
This course has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.
Before you start proceeding with this course, we assume that you have prior exposure to Core Java, database concepts, and any of the Linux operating system flavors.
