About this course
Course Overview
This course is designed for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Administrator and Developer and use the Big Data to gain insight that will be used to get people throughout the enterprise to run the business better and to provide better service to customers.
Course Objectives
- Define and describe Big Data and its role in the corporate world
- Understand the need for Distributed Computing
- Understand the role of Hadoop in a distributed computing setup
- Understanding the different install modes available for Hadoop
- Installing Hadoop in Standalone mode
- Installing Hadoop in Pseudo-Distributed mode
- Understanding the components of HDFS
- Moving files in and out of HDFS
- Managing replication strategies for data nodes
- Management strategies for failure data and name nodes
- Setting up a MapReduce job for a simple counting task
- Submitting a MapReduce job to Hadoop and monitoring it
- Understanding how YARN schedules tasks
- Introduction to basic technologies which work on Hadoop
Course Content
- Module 01: Big Data Overview
- Module 02: Hadoop Introduction, HDFS and MapReduce
- Module 03: Hadoop Install and Configure
- Module 04: Hadoop Data Ingest using Apache NiFi
- Module 05: Data Processing using MapReduce framework
- Module 06: Managing and Scheduling Tasks using YARN Management System
- Module 07: HDFS data visualization using Microsoft Power BI
- Module 08: Latest trend technologies edge Big Data Solutions
Course Prerequisites
- 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.
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