Master HDFS, MapReduce, and YARN. Learn Hive, Pig, and ETL workflows to build high-performance Big Data clusters.
Sub Category
- Other IT & Software
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Objectives
- Master the core architecture of Hadoop, including HDFS, MapReduce, and YARN, to manage and process massive datasets efficiently.
- Gain hands-on experience in configuring and setting up a Hadoop cluster for real-world big data storage and distributed computing.
- Learn to use essential ecosystem tools like Hive and Pig to perform complex data analysis and ETL tasks on large-scale data.
- Apply best practices for data ingestion, security, and troubleshooting within a Hadoop environment to ensure high-performance data pipelines.
Pre Requisites
- Basic knowledge of Linux command line and a fundamental understanding of Java or SQL will be helpful, but a complete refresher is included.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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