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Updated in [April 21st, 2023]
What skills and knowledge will you acquire during this course?
Skills and knowledge that will be acquired during this course include:
- Understanding the basics of big data
- Knowledge of the history of Hadoop
- Differentiating between RDBMS and Hadoop
- Understanding cluster modes in Hadoop
- Familiarity with HDFS daemons and Mapreduce daemons
- Understanding Hadoop cluster architecture
- Knowledge of HDFS commands
- Understanding the concepts of Combiner & Partitioner in Mapreduce
- Understanding the basics of Mapreduce algorithm
- Familiarity with Hadoop Distributed File System
- Ability to store and process big data in a distributed environment using Hadoop
- Understanding the scalability of Hadoop from single servers to thousands of machines
- Ability to write simple programming models using Hadoop
- Knowledge of Big Data Analytics using Hadoop Framework
- Becoming a Hadoop Developer
- Beneficial for software professionals, analytics professionals, and ETL developers
- Assumes prior exposure to Core Java, database concepts, and Linux operating system flavors.
How does this course contribute to professional growth?
The Hadoop Basic Course for Beginners to Professionals contributes to professional growth by providing a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System. This course is designed for professionals aspiring to learn the basics of Big Data Analytics using the Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course. Prior exposure to Core Java, database concepts, and any of the Linux operating system flavors is assumed before starting this course.
Is this course suitable for preparing further education?
The course "Hadoop Basic Course for Beginners to Professionals" is suitable for individuals who are interested in preparing for further education in the field of Big Data Analytics using the Hadoop Framework. It provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System. Professionals in software development, analytics, and ETL development can benefit from this course. Prior exposure to Core Java, database concepts, and Linux operating system flavors is assumed.