Big Data Hadoop Course Highlights

This course provides an in-depth understanding of Big Data and Hadoop ecosystem components. It covers the fundamentals of Hadoop architecture, Hadoop Distributed File System (HDFS), and various tools and frameworks within the Hadoop ecosystem such as MapReduce, Hive, Pig, HBase, and Spark. The course is designed to equip students with the skills required to handle, analyze, and process large datasets using Hadoop technologies.

Who Should Enroll:

• Data Analysts
• Data Scientists
• Software Developers
• Business Intelligence Professionals
• IT Administrators

Highlights

• Fundamentals of Big Data and Hadoop ecosystem
• HDFS architecture and file operations
• MapReduce programming and advanced concepts
• Using Hive and Pig for data processing
• Working with NoSQL databases like HBase
• Data ingestion with Sqoop and Flume
• Real-time data processing with Apache Spark
• Hadoop cluster setup, management, and security
• Implementing best practices in Big Data projects

PROJECT AND INTERVIEW PREPARATION

• End-to-end Big Data Pipeline Engine PROJECT
• Involving all Major components like
• Sqoop, Hdfs, Hive, Hbase, Spark… etc.
• Interview Preparation Tips
• Sample Resume
• 300+ Mock Interview Recordings
• Mock Interview QA
• Interview Questions
• How to Handle Various Interview Round Qs
• Career Guidance
• One to One Resume Discussion
• Certification