What does Big Data mean?

Big data (English: Bigdata), also known as megadata, is the term used to refer to large or complex data sets that are insufficient to be processed in traditional data processing applications.

Big data can also be defined as large amounts of unstructured or structured data from a variety of sources. From an academic perspective, the emergence of big data has led to novel research on a wide range of topics. It has also led to the development of various statistical methods for big data. Big data does not have statistical sampling methods; it simply observes and tracks what happens. As a result, Big Data typically contains data sizes beyond the ability of traditional software to process in an acceptable amount of time. Big data analytics is gaining prominence in modern research due to recent technological advances, the ease of publishing new data, and the demand for a high level of transparency by most governments around the world.

Applications:

Examples of applications of big data include big science, RFID, networks of sensing devices, astronomy, atmospheric science, transportation, genomics, biology, big social data analytics, Internet document processing, indexing of Internet search engines, breakdown of communication records, military reconnaissance, financial big data, healthcare big data, social networking, and commute time prediction, medical records, photo image and image sealing, large-scale e-commerce, etc.

1. There are 150 million sensors in the Large Hadron Collider, which sends data 40 million times per second. The experiment produces nearly 600 million collisions per second, and after filtering to remove 99.999% of the collision data, about 100 useful collisions are obtained.

Filtering the impact result data to record only 0.001% of the useful data, the amount of data from all four colliders produces 25 petabytes (PB) per year before replication, and 200 petabytes after replication.

If all the data from all the experiments were recorded without filtering, the data volume would become excessively large and extremely difficult to process. The amount of data per year would be 150 million beat bytes before replication, which equates to nearly 500 exabytes (EB) of data per day. This figure represents the daily experiment will produce the equivalent of 500 Gai (5 × 1020) bytes of data, 200 times the sum of all data sources around the world

2. The background of the generation of big data can not be separated from the rise of social networks, such as Facebook, and people every day through this self-media to disseminate information or communication exchanges, and the resulting information is recorded by the network, sociologists can Based on these data, sociologists can analyze human behavioral patterns and ways of interaction. The Turgon Project in the United States analyzes individuals' suicidal tendencies based on their data on social networks. The project selects subjects from retired U.S. soldiers, collects data through a Facebook mobile app, and transmits the user's activity data to a medical database. The collected data is analyzed by an artificial intelligence system, which then uses a predictive program to instantly monitor the subjects for behaviors that are generally considered harmful.

3. Data mining technology is used to analyze the volume of online voice to understand customer behavior, market demand, marketing strategy reference and business decision support, or applied to brand management, IWOM, and negative events. For example, telecommunication carriers can analyze the online discussion data of their brands to find out the negative events and deal with them instantly, so as to minimize the image hazards that may be caused by the spread of negative discussions on the Internet. For example, third-party service providers (TSPs) with a large amount of store transaction data can integrate in-house transaction data, publicly available customer review data (e.g., GoogleMap reviews), and store litigation data from the court to evaluate and predict store operations and further provide business consulting services.