Big Data Management
This paper explores what a Database Management System (DBMS) suited to the future may look like based on issues that can be seen today, as well as emerging trends and how this system may be created. An apt example includes a system that allows efficient and continuous querying and mining of data flows that can be employed on media with different computing capacities. What human-to-machine communication and interoperability do you think was most beneficial? Consider how, for example, an individual embedded medical device will be included in DBMS as processes get more complex and storage facilities become more distributed. What are some key aspects of DBMS that could benefit future architectures?
6. Perspectives
An important observation to make is that in today's perspectives introduced by architectures like the cloud, and by movements like Big Data, there is an underlying economic model that guides directly the way they are addressed. This has not been a common practice in previous eras, but today the "pay-as-you-go" economic models have become an important variable of (big) data production, consumption, and processing.
Which is the value to obtain from Big Data? Big Data is a dynamic/activity that crosses many IT borders. Big Data is not only about the original content stored or being consumed but also about the information around its consumption. Big Data technologies describe a new generation of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of data, by enabling high-velocity capture, discovery, and/or analysis. Even if technology has helped by driving the cost of creating, capturing, managing, and storing information the prime interest is economic: the trick is to generate value by extracting the right information from the digital universe.