What are the 3 types of big data?

The term "Big Data" gets thrown around a lot, but what does it mean? In its simplest form, Big Data refers to large and complex datasets that traditional data processing software just can't handle. This data comes from everywhere – our online activities, social media interactions, sensor readings, and much more. But not all Big Data is created equal. It comes in three distinct types, each with its unique characteristics and challenges. 1. Structured Data: Think of this as the neat and organized member of the data family. Structured data follows a defined format, neatly fitting into rows and columns like you'd see in a spreadsheet. It's easily searchable and analyzable, making it the simplest form of Big Data to manage. Examples include financial records, customer information in databases, and sensor data with clearly defined parameters. Benefits: Easy to manage and analyze using traditional tools like SQL databases. Provides clear insights through simple queries and data aggregation. Forms the foundation for business intelligence and reporting. Challenges: Limited flexibility, as it requires a pre-defined structure. May not capture the full complexity of certain phenomena. Benefit Description Easy to manage and analyze Structured data is straightforward to manage and analyze using traditional tools…

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