What is Big Data

Hadoop is an open-source framework built on Java that facilitates the storage and processing of vast amounts of data for various applications. It leverages distributed storage and parallel processing to manage big data and execute analytics tasks by breaking down large workloads into smaller, concurrently executable tasks.

Apache Hadoop serves as an efficient, open-source solution for storing and processing large datasets, ranging from gigabytes to petabytes. Instead of relying on a single large computer, Hadoop clusters multiple machines together, enabling the parallel analysis of enormous datasets and significantly speeding up data processing.

Big data is generally divided into three categories:

• Structured Data: Highly organized and easily stored in traditional databases.
• Semi-Structured Data: Partially organized data formats, such as JSON or XML, that do not fit perfectly into rigid schemas.
• Unstructured Data: Data that lacks a predefined structure, such as text documents or multimedia files.

• Develop a comprehensive strategy and roadmap from the beginning.
• Design and implement a robust, scalable architecture.
• Focus on aligning data practices with business goals and needs.
• Eliminate data silos to ensure seamless data integration.
• Maintain flexibility in data management approaches.
• Enforce strong access controls and data governance measures.