Overview of Hadoop:

Hadoop is a distributed storage and processing framework designed to handle large-scale data sets across clusters of computers. It comprises two main components - Hadoop Distributed File System (HDFS) for storage and MapReduce for processing. With its ability to scale horizontally, Hadoop is ideal for processing and analyzing massive datasets efficiently.

Benefits of Learning Hadoop:

1. Scalability: Hadoop enables the seamless addition of nodes to a cluster, making it highly scalable to handle increasing data loads.
2. Cost-Effective: The open-source nature of Hadoop eliminates the need for expensive hardware, making it a cost-effective solution for Big Data processing.
3. Fault Tolerance: Hadoop's distributed nature ensures fault tolerance, with data replicated across multiple nodes, reducing the risk of data loss.

Who Can Learn Hadoop:

• Data Professionals: Data scientists, analysts, and engineers looking to enhance their skills in managing and analyzing large datasets.
• IT Professionals: System administrators and developers interested in understanding and implementing Big Data solutions.
• Business Analysts: Professionals aiming to extract valuable insights from data to drive business decisions.

Career Scope:

The demand for Hadoop professionals is on the rise across various industries, including finance, healthcare, e-commerce, and more. Job roles may include:

• Big Data Engineer
• Hadoop Developer
• Data Scientist
• Business Intelligence Analyst

Salary Package with Job Roles in India and Abroad:

In India, entry-level Hadoop professionals can expect salaries ranging from INR 5-8 lakhs per annum, with experienced professionals earning upwards of INR 15 lakhs. Abroad, salaries can range from $70,000 to $120,000 per annum, depending on experience and location.