Big data: key concepts and modern practices

the present era can be called the era of Big Data, as its volumes are constantly increasing, bringing with them opportunities that impact the process of collecting, storing, processing, and analyzing data. The author of the article notes that Big Data volumes are currently measured primarily in terabytes (TB), petabytes (PB), and zettabytes (ZB), and this figure continues to grow rapidly. In the modern world, it is impossible to avoid working with Big Data in most fields. Big Data helps improve the quality of services, optimize production processes, predict consumer behavior, and even prevent disasters. We encounter it as internet users, and companies use it to study sales statistics, deliveries, and competitor activities. It turns out that everyone is using Big Data. At the same time, the use of Big Data raises important questions for society regarding the protection of personal data, privacy, and ethics. The author notes that the term Big Data is currently being promoted as a trend in new-age information technologies and defines not only the size of data sets, which exceeds the capabilities of conventional databases. The article notes that the flow of information increases the need for its storage, structuring, processing, and analysis [1]. While humans previously contributed data to the network, a vast array of programs and artificial intelligence now exist for this purpose. Cloud platforms are increasingly playing a key role in Big Data strategies.

Big data, data analysis, structuring, data processing, artificial intelligence, structured tables, information flow, distributed computing