Step 1: Data Collection.
Large volumes of structured and unstructured data are collected from multiple sources such as social media, sensors, and databases.
Step 2: Data Storage.
The collected data is stored using technologies like Hadoop or cloud storage systems to handle large-scale data efficiently.
Step 3: Data Processing.
Data is cleaned, organized, and processed using tools like MapReduce or Spark to extract useful information.
Step 4: Data Analysis and Visualization.
Processed data is analyzed to identify patterns and insights, and results are presented using charts, dashboards, and reports.