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Разрабатывать или покупать инфраструктуру для работы с Большими Данными?
4 апреля 2013 В жизни компании любого размера наступает момент, когда нужно внедрять инфраструктуру с целью оптимизации работы с Большими Данными, на базе которых можно использовать решения бизнес-аналитики. Выбор, казалось бы, и так достаточно широк, учитывая количество вендоров на рынке, К тому же компании должны определиться, будут ли они покупать готовую инфраструктуру, или же разрабатывать самостоятельно. Материал, который мы Вам предлагаем, поможет поставить все точки над «і» и сделать правильный выбор, подходящий Вашей организации. (Материал опубликован на английском языке)Enterprises of all types are betting on big data analytics to help them better understand customers, compete in the market, more rapidly discover insights to help improve products and services, and increase profits. In a recent ESG survey, two-thirds of IT and business professionals responsible for their organization’s data analytics strategies, technologies, and processes considered enhancing analytics a top-five business priority, and more than one-quarter cited enhancing analytics as their most important business priority. Given the high degree of interest in analytics and the vast quantity of unmined data, the first step most organizations need to take on the path towards realizing the benefits from big data analytics is to implement an appropriate infrastructure to process big data.
Though most enterprises are not starting entirely from scratch, having already developed data warehouses and related business intelligence (BI) solutions, most realize that big data analytics require a different infrastructure than what they have used historically for data warehousing and BI. Many organizations, therefore, plan to invest in a new solution infrastructure to realize the promise of big data. ESG estimates that by the end of 2013, more than half of larger organizations will have made such investments. ESG believes that buying the preconfigured Oracle Big Data Appliance will prove to be the better option for most larger organizations trying to successfully implement a big data infrastructure over a “build your own” solution.
Source: esg-global.com
Though most enterprises are not starting entirely from scratch, having already developed data warehouses and related business intelligence (BI) solutions, most realize that big data analytics require a different infrastructure than what they have used historically for data warehousing and BI. Many organizations, therefore, plan to invest in a new solution infrastructure to realize the promise of big data. ESG estimates that by the end of 2013, more than half of larger organizations will have made such investments. ESG believes that buying the preconfigured Oracle Big Data Appliance will prove to be the better option for most larger organizations trying to successfully implement a big data infrastructure over a “build your own” solution.
Source: esg-global.com
Getting Real About Big Data: Build Versus Buy Брошюра компании ESG на английском языке
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