The Certificate Course in Big Data & Hadoop is a popular program that provides students with the knowledge and skills needed to process and analyze large data sets. With the rise of big data, there is a growing demand for professionals who can handle and manage such data, and this course aims to meet that demand.
The program covers a range of topics related to big data and Hadoop, including the basics of big data, Hadoop architecture, data processing with Hadoop, and more. Let’s take a closer look at the syllabus of this course:
Module 1: Introduction to Big Data and Hadoop
- Understanding Big Data
- Introduction to Hadoop
- Hadoop Ecosystem
- Hadoop Distributed File System (HDFS)
- Hadoop Cluster Architecture
Module 2: Hadoop Installation and Configuration
- Hadoop installation on a Single Node and Multi-Node Cluster
- Configuration of Core Hadoop components
- Configuration of Hadoop Cluster
- Hadoop Cluster Maintenance
Module 3: Hadoop MapReduce
- MapReduce Framework
- Mapper and Reducer
- Job Submission
- MapReduce Execution
Module 4: Hadoop Distributed File System (HDFS)
- HDFS Architecture
- HDFS Design and Concepts
- HDFS Operations and Commands
Module 5: Data Processing with Hadoop
- Hadoop Data Processing
- Hadoop Data Ingestion
- Hadoop Data Analysis
- Hadoop Data Visualization
Module 6: Hadoop Ecosystem and Its Components
- Hadoop Ecosystem Overview
- Hadoop Pig
- Hadoop Hive
- Hadoop HBase
- Hadoop Sqoop
- Hadoop Flume
- Hadoop Zookeeper
Module 7: Hadoop Administration and Monitoring
- Hadoop Cluster Administration
- Hadoop Cluster Monitoring
- Troubleshooting Hadoop Cluster
Module 8: Hadoop Security
- Security Concepts in Hadoop
- Hadoop Kerberos Security
- Hadoop SSL Security
- Hadoop Access Control Lists (ACLs)
The course is typically delivered through a combination of lectures, hands-on exercises, and projects. Students will have the opportunity to work on real-world big data projects using Hadoop, which will give them practical experience and prepare them for the workforce.
Upon completion of the program, students should have a strong understanding of big data concepts and Hadoop architecture. They will be able to set up and configure Hadoop clusters, implement Hadoop MapReduce jobs, process data with Hadoop, and work with various Hadoop ecosystem components. They will also have the skills needed to troubleshoot and secure Hadoop clusters.
Overall, the Certificate Course in Big Data & Hadoop is a valuable program for anyone looking to enter the field of big data and analytics. With the skills and knowledge gained through this program, graduates will be well-positioned to pursue careers as data analysts, big data engineers, Hadoop administrators, and more.
