discuss the usage of big data analytics in social networking 1

This week’s reading centered around how Big Data analytics can be used with Smart Cities. This is exciting and can provide many benefits to individuals as well as organizations. For this week’s research assignment, you are to search the Internet for other uses of Big Data in RADICAL platforms. Please pick an organization or two and discuss the usage of big data in RADICAL platforms including how big data analytics is used in those situations as well as with Smart Cities. Be sure to use the UC Library for scholarly research. Google Scholar is the 2nd best option to use for research.
Your paper should meet the following requirements:
• Be approximately 5 pages in length, not including the required cover page and reference page.
• Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your response with the readings from the course and at least five peer-reviewed articles or scholarly journals to support your positions, claims, and observations.
• Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.
Big Data Analytics and Networking
Networks are at the center of todayâ€s world, so understanding how the network is performing is critical, not just for technical peace of mind, but for the operation of the business itself. Now, in pursuit of serving customers more effectively and looking for every possible competitive edge, network operators are utilizing analytics to gain a deeper understanding of the network. As a result, they are able to make smarter, data-driven decisions about their operations that help them achieve their desired business outcomes.
Network analytics, in its simplest definition, involves the analysis of network data and statistics to identify trends and patterns. Once identified, operators take the next step of ‘acting†on this data which typically involves a network operation or a set of operations. For example, if a network operator finds that there may be a congestion problem in a certain area of the of the network, traffic can be routed through a different part of the network to meet service performance objectives. Typically, this type of operation has been a manual process. But now, vendors are augmenting traditional analytics with automation and artificial intelligence technologies to enable the next generation of highly intelligent networks, a network capable of dynamically self-configuring or self-optimizing based on changing network conditions.
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