As a result of the development of technology and the internet, the incredible increase in the speed of production and dissemination of information has turned into a pile fed by millions of data.
Big Data; It is a phenomenon put forward by software companies that carry out R&D activities in order to convert information stacks created by different sources such as social media, search engines, information document archives, log files, machine data into meaningful data.
Big Data, which covers all kinds of data from worksheets to databases, from servers to cloud services, has evolved into systems that database experts have started to classify in relational databases in a structured way and that can be used by businesses and that support decision-making by company managers through reporting systems.
- Evaluating Big Data Components together is a very comprehensive process.
- When the produced data is obtained from many different media, it is a very difficult process to integrate it in different formats.
- Meeting the software and hardware requirements of data-based operations in order to make meaningful and use rapidly growing data is a very difficult and intensive process.
- Planning the expansion of Big Data, that is, how data stacks will be managed in the future, requires extensive work and planning.
- Preventing the occurrence of security and reliability violations in the flow of data and creating authorization strategies based on this is another important topic.
- It is the contribution of the effort spent on big data, which is used in many areas from production plan to managerial decisions, from after-sales customer satisfaction to data storage, to the business.
With Big Data (Big Data) studies, we aim to increase your speed by storing data that you cannot record and transforming it into online reports, and to provide you with a competitive advantage and to get ahead in profitability.