Course Access
6 months
Last Updated
October 26, 2024
Students Enrolled
27
Total Curriculum
20
Certification
- Introduction to Big Data: Understanding the concepts, challenges, and opportunities in big data.
- Hadoop Ecosystem Overview: Components of Hadoop including HDFS, MapReduce, YARN, and Hadoop Common.
- Data Storage with HDFS: Managing and storing large datasets using Hadoop Distributed File System.
- Data Processing with MapReduce: Writing, debugging, and optimizing MapReduce jobs for distributed data processing.
- Advanced Hadoop Tools: Exploring additional tools like Hive, Pig, and HBase for data querying and management.
- Hands-on Labs: Implementing big data solutions and processing workflows using Hadoop and its ecosystem tools.
Course Curriculum
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- Introduction to Big Data and Hadoop 00:44:00
- Ways To Build Data Structures 00:40:00
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- Quiz – Introduction to Big Data and Hadoop 00:05:00
- Quiz – Ways To Build Structure 00:05:00
- Hadoop Architecture 01:00:00
- Quiz – Hadoop Architecture and Installation 00:05:00
- Key Hadoop Modules 00:43:00
- Quiz – Key Hadoop Modules 00:05:00
- Setting Up Hadoop Clusters and Hadoop Monitoring 2 days, 9 hours
- Quiz – Setting Up Hadoop Clusters and Hadoop Monitoring 00:05:00
- Hadoop Reporting Tools 01:00:00
- Quiz – Hadoop Reporting Tools 00:05:00
- MapReduce method 01:00:00
- Quiz – Introduction to MapReduce 00:05:00
- Introduction to YARN 00:45:00
- Quiz – Introduction To Yarn 00:05:00
- Introduction to Sqoop 01:00:00
- Quiz – Introduction to Sqoop 00:05:00
- Introduction to PIG 00:44:00
- Quiz – Introduction to PIG 00:05:00
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