Big Data refers to the vast volumes of structured, semi-structured, and unstructured data that are generated at high speed from various sources and cannot be easily managed, processed, or analyzed using traditional data processing tools. Characterized by the “three Vs”—volume (large quantities of data), velocity (the rapid pace of data generation), and variety (different types and formats of data)—Big Data encompasses everything from social media posts and sensor data to transaction records and digital communications.
The main goal of Big Data is to leverage these extensive datasets to uncover insights, patterns, and trends that can inform decision-making, improve business processes, and drive innovation across various industries. Technologies and frameworks such as Hadoop, Spark, and data lakes are commonly used to store, process, and analyze Big Data, enabling organizations to harness its power for predictive analytics, machine learning, and data-driven strategies.
Cities are transforming into intelligent ecosystems driven by big data, integrating technology and innovation in urban planning. Cloud computing plays a crucial role, managing and interpreting large data streams beyond…
```html The Big Data market is expected to reach $1.78 billion by 2029, fueled by smart city initiatives. Smart city initiatives have grown significantly, from $211.36 million in 2021. A…