Components and Their Impact
1
Big data consists of various components that work together to analyze vast datasets.
2
Data sources include IoT devices, social media, and databases generating raw information.
3
Data collection ensures accuracy and organization from diverse sources for effective analysis.
4
Big data storage solutions like NoSQL databases and data lakes accommodate massive data volumes.
5
Data processing transforms raw data into insights using technologies like Apache Spark and Hadoop.
6
Data analysis uncovers patterns through techniques like machine learning and predictive analytics.
7
Data visualization tools help communicate complex insights effectively for better decision-making.