Big data can be defined as very large and complex data sets, particularly from new data, that can be analysed to disclose trends, patterns and associations. These data sets are so vast and so complex that traditional data processing applications are inadequate to deal with them. Big data collection involves gathering large volumes of information from various sources, which can then be used for analysis.
Sources of Big Data
According to The New York Times, big data can come from many different sources. Social media platforms, for example, generate vast amounts of data every day as users post updates, photos and videos.
Online transactions, such as those from e-commerce sites, also contribute significantly to big data, providing insights into purchasing habits and consumer behaviour. Additionally, data is collected from sensors and smart devices, which are part of the Internet of Things (IoT).
Applications of Big Data
The applications of big data are vast and varied. In healthcare, big data can be used to track disease outbreaks and improve patient care. In business, it can help companies understand market trends and consumer preferences, leading to better decision-making and more targeted marketing strategies.
For businesses who are interested in data collection, working with a specialist data collection company such as shepper.com can provide the expertise needed to collect and analyse data effectively.
Methods of Data Collection
There are several methods used by a data collection company to gather big data. One common method is web scraping, which involves extracting data from websites. This can include anything from prices on e-commerce sites to user reviews and ratings.
Another method is the use of APIs (Application Programming Interfaces), which allow different software systems to communicate and share data. For instance, social media platforms often provide APIs that let developers collect data on user interactions and content popularity.
Another important method is data streaming. This is where data is continuously collected and processed in real-time. This method is particularly useful for applications that require immediate insights, such as monitoring traffic conditions, tracking stock market changes or managing live event data.
