{"id":80277,"date":"2020-05-05T01:42:27","date_gmt":"2020-05-04T23:42:27","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/platformy-upravleniya-dannymi-ot-periferii-do-oblaka"},"modified":"2020-05-05T01:42:27","modified_gmt":"2020-05-04T23:42:27","slug":"platformy-upravleniya-dannymi-ot-periferii-do-oblaka","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/administrirovanie\/platformy-upravleniya-dannymi-ot-periferii-do-oblaka","title":{"rendered":"Data Management Platforms: From Edge to Cloud","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Today, for most companies and organizations, data is one of their strategic assets. With the expansion of analytics capabilities, the value of the data collected and accumulated by companies is constantly increasing. It is often mentioned that there is an explosive, exponential growth in the volumes of generated corporate data. It is noted that 90% of all data was created in the last two years.\u00a0<\/p>\n

\"Data<\/a><\/noindex><\/a><\/noindex><\/p>\n

The growth in data volumes is accompanied by an increase in their value.<\/h2>\n

\nData is created and utilized by big data analytics systems, the Internet of Things (IoT), artificial intelligence, and more. The data collected forms the basis for improving customer service, making decisions, supporting operational activities of companies, and for various research and development efforts.<\/p>\n

\"Data
\n90% of all data was created in the last two years.<\/i>\u00a0<\/p>\n

According to IDC forecasts, the volume of stored data worldwide will double from 2018 to 2023, with the total storage capacity reaching 11.7 zettabytes, and enterprise databases will account for more than three-quarters of the total volume. Notably, while in 2018 the total capacity of shipped hard disk drives (HDD), which remain the main information carrier, was 869 exabytes, by 2023 this figure could exceed 2.6 zettabytes.<\/p>\n

Data Management Platforms: What Are They For, and What Role Do They Play?<\/h2>\n

\nIt is not surprising that data management issues are becoming a priority for enterprises, directly impacting their operations. To address these issues, it is sometimes necessary to overcome challenges such as system heterogeneity, data formats, methods of storage and usage, and management approaches in a 'zoo' of solutions that were implemented at different times.\u00a0<\/p>\n

\"Data
\nThe result of such a non-unified approach is the fragmentation of data arrays stored and processed in different systems, and varying data quality assurance procedures. These typical problems increase the labor and financial costs of working with data, for example, when obtaining statistics and reports or making management decisions.\u00a0<\/p>\n

The data management business model should be customized and tailored to the needs, tasks, and goals of the enterprise. There is no single automated system or data management platform that can cover all tasks. However, modern comprehensive, flexible, and scalable data management systems often serve as universal software for data management and storage. They include the necessary tools and services for effective data management.\u00a0<\/p>\n

The latest developments allow enterprises to rethink data management on an organizational scale, providing a clear view of what data is available, the policies associated with it, where and how long data is stored, and ultimately enabling timely delivery of the right information to the right people. These are solutions that empower enterprises to:\u00a0<\/p>\n