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Organizations the world over have already been taking into account that Data with a capital D is the organization’s primary asset, and that consequently, in order to continue being relevant and lead the market, they must change their current and existing organizational perception and procedures. Defining Data as a major asset for the organization impacts its prospects for growth along with its organizational vision, and expands the enterprise through providing additional services beyond the core portfolio. Being able to remain competitive depends on both the availability and the quality of the data the systems store. Meaning: being able to provide the required data in the required form at minimal time, effort and risk.
The business sector is currently ripe for implementing Dig Data solutions. Whereas until recently most organizations were primarily preoccupied primarily with technology, there is a widespread realization nowadays that there is an immediate need to realize Big Data platforms for enterprises. Dig Data solutions abound across domain, as they are essentially designed to produce intelligence from many and varied sources of data, such as social media, websites, forums and so on. These sources provide information on persons, places, contacts and events, and this information constitutes the basis for organizational data.
When it comes to Dig Data solutions, Oracle’s vision is clear and unequivocal: simplicity coupled with technological excellence. Deriving value from data over time calls for a unified Big Data Platform which would provide a simple and intuitive environment capable of producing insights from multiple sources and incorporating them together with the existing organization data using secure modes.
Oracle’s Big Data Solution is based on the following aspects:
The major challenge in the field of Dig Data is the extraction of valuable data in a data-rich, complex environment. Sometimes, the “data scientists’” mission is rendered impossible by virtue of using a number of analysis technologies for various types of data, and investing most of the time in organizing the data rather than in analyzing it.
Oracle has developed a unique product, BDD – Big Data Discovery, which constitutes “a studio for managing and analyzing figures” and is defined as a Face of Hadoop. This software provides a friendly working environment for the data scientists and the content specialist alike. Thus, they are able to carry their missions out using visual and intuitive tools, thereby simplifying code and algorithms development processes.
Furthermore, Oracle has developed additional analytics tools: using the expanded 12c Advanced Analytics database analytics package, which is fully Bug Data inclusive by virtue of using Big Data SQL. The Enterprise Oracle R component enables combining statistical R language as part of the SCQ at the database of the Oracle R for Hadoop to develop parallel R software using Hadoop as well as additional components as part of Oracle’s Big Data Connectors package.
In terms of cyber aspects, the Big Data system, which is defined as the cyber pool, is incorporated in many of the solutions requiring the production operative intelligence for defense and event management facets. Big Data is required by virtue of the very fact that advanced cyber attacks are spreading at a usually slow pace, below the ’noise level’. Consequently, you must gather data and manage it over time and analyze it efficiently and rapidly. Oracle is very active in this field, and together with leading industry partners, it developed a cyber platform for advanced applications, which constitutes a generic and open infrastructure for monitoring, storing and advanced analysis of network data.