Managing Big Data Systems

There is sudden increase in the way data is currently being collected. People use smart phones and smart tablets and connected to internet throughout the day. Most of the shopping has gone online. As a result, data is getting collected in different formats and from different applications. The rapid expansion of Big Data is further fueled by exponential increase in usage of internet and people ability to interact on social media and different networking applications including YouTube, Gmail, Facebook to name a few. But just how easy is the task to leverage the vast amount of data, which is called Big Data, our computer systems are collecting on a daily basis? What significant challenges are currently faced by the organizations

The emergence of big data has provided different avenues for organizations to use data to improve different aspects of their respective operations. Be it customer service, research and development, or market position, Big Data has the potential to be a significant driving force in all these areas. However, there’s still a significant gap between the ability of Big Data to produce insightful analytical information based on real-time data and the ability of organizations to capture and utilize this readily available tool. This is, in part, due to the fact that the systems and processes necessary to fully maximize the usefulness of Big Data is currently lacking in most organizations. This lack of a conducive habitat for Big Data is further magnified in new organizations without any knowledge of Big Data. For organizations that have that have little to no knowledge of Big Data, there must be a thorough assessment of the benefits of big data and how they could improve the organizations overall place in the market. There also needs to be steps taken towards the design of frameworks that will enable the organization to better capture and utilize Big Data.

The purpose of big data in the building of future cities is to make them smarter and more sustainable (Build the cities). The idea of a city being smart sounds crazy, but with all the technology people have on hand at all times allows this to be possible. Again, a large part of the data comes from social media, and the interactions between individuals. Researchers are now trying to use social media in a new way, to get the world out about social issues, environmental issues, etc. to see how people react and if they react. For example, researchers are using social media to create climate awareness, by asking to reduce carbon dioxide emissions and energy waste in urban area (Marr, 2015). In the analysis of their reactions, researchers will be able to provide useful information on how to best shape the future of cities (Heppenstall & Malleson, 2015).

This article reviews the application of big data and big data analysis at Facebook. As explained above, social networking sites such as Facebook generate terabytes of information on a daily basis and thus have the opportunity of generating massive amounts of knowledge from these data. The article has been divided into five chapters including the introduction, a brief description into Facebook, the big data strategies at Facebook, the big data technologies at the company to support strategic operations and the implementation of the big data strategies at the company. The paper then concludes with a brief conclusion briefing on the findings and the results of the discussion.

In recent years the amount of data accumulated from social networks has become very large, and there is a lot of valuable information to gain from analyzing and applying data mining to social network data.

Big data and analytics are hot growth areas, not only for IT organizations, but for businesses across all industries.

Social network analysis is used to study the pattern of communication and relationships among the members of a social network. The interaction on the social network is assumed to be reflective of how the individual interacts and is an insight into the members’ behavior patterns (Costa, 2012). The graph theory has been used effectively to understand a variety of unrelated problems from organizational behavior to spread of infectious diseases. In social network research, various algorithms have been designed in conjunction with concepts from relational learning, web mining and inductive logic to perform predictive as well as descriptive analysis. As described in Karamon (2008) some of

Not only the development of Big Data brings big opportunities, but it also brings big

The term “Big Data” has been around for quite some time and has been catching everyone’s attention with remarkable speed. A plethora of questions do pop up in our mind sometimes. What is big data, is this something absolutely new, how can it be leveraged to create value for an organization and so on. For many years, companies have used various transactional records stored in relational databases to make competitive business decisions. But how long can we sustain or depend on these traditional methods of doing analysis and coming to a conclusion. There is an ocean of non-traditional, less structured data such as weblogs, social media, email, sensors, and photographs that can be mined not only for useful information but also to make strategic decisions.

Big Data is a term for very large amounts of formal and informal information that can be analyzed to find trends and patterns. The information can be about anything, but it needs to be processed in a way that will give it value and relevance. It can come in multiple formats and from different sources such as large databases, electronic records, social media, mobile phones, apps, wearable devices such as pedometers, and others. Different data sets are combined and contrasted in different ways to give perspectives and insights about a topic. It can be used in a seemly endless number of ways and people are discovering new ways to use it all the time, some of them entertaining. The largest areas of use include those relating to consumer behavior and choices, business procedures, healthcare, science and research, and law enforcement. People are also discovering its use in their personal lives as well for things like buying a home, dating, fitness routines and travel.

Over the past several years, the term “Big Data” has been used more frequently to help

A very simplified way of looking at big data refers to, “the sheer mass of data produced daily by and within global computer networks at a pace that far exceeds the capacity of current databases and software programs to organize and process” (Dewey, "Big Data"). The world of big data has evolved primarily from the business intelligence and analytics field of information technology. Big data and big data analytics involve big data sets. The information that is stored requires unique ways of holding and organizing the data in order to process it correctly. Common methods of data storage are just not possible. The internet has added to the amount of data that can be captured. With the ability of advertisers to utilize technologies to capture user information through web interfaces, the sheer magnitude of information that can be kept is staggering. All of this information can be put to use by any number of businesses and governments (Chen, Chiang, and Storey, "Business Intelligence and Analytics: From Big Data to Big Impact."). The ability to direct or channel all of that information opens unbelievable doors to virtually any organization. All kinds of organizations would benefit including businesses, governments, schools and hospitals (Dewey, "Big Data"). “Big data may be as important to business –

A Big Opportunity: Big Data. Big Data is simple – they are big chunks of information that needed special databases for them to receive, store, share and analyze information. Big Data is often used by the government, including procurement since it allows a lot of information to be fed into the database. In terms of public procurement, big data can help and improve the process in terms of spend analysis and supplier information. For businesses, big data can be a growing trend since a lot of information is processed by both the business and the consumer. The business can collect data from the client’s user experience using many avenues

One piece of information may be insignificant, but billions of data points can illuminate. That’s the underlying promise of big data and analytics, which observers have been calling a revolutionary development for several years now. But it’s difficult to know where a revolution is headed while it’s still unfolding. New research from the McKinsey Global Institute

Social network analysis is an ordinary complement to many management consultant offerings valuable perceptions both during the study and execution phase. There are several uses for social network analysis.