Big Data architecture is built from multiple components that collect, store, process, and analyze massive datasets, enabling organizations to extract valuable insights and drive decisions.
Everything starts here! Data comes from databases, logs, sensors, social media, IoT devices, and more. Diverse sources mean a wide variety of data types and formats.
This step moves raw data from sources into the system. It handles both batch uploads and real-time streams, ensuring all data is captured for storage and analysis.
Data is stored in scalable systems like data lakes or distributed file stores. These handle huge volumes of structured and unstructured data efficiently for later processing.
Processing transforms raw data into usable formats. Batch processing handles large files over time, while stream processing analyzes real-time data for instant insights.
Here’s where the magic happens! Analytical tools extract patterns, trends, and insights from processed data, supporting business intelligence and strategic decisions.
Data is visualized for easy understanding and shared with users. Governance ensures data quality, security, and compliance throughout the entire Big Data lifecycle.