Database Essay

Big data analytics is the process of analyzing large data to find useful information such as improving efficiency of business, market trends, customer’s preferences, information of competitors, and other useful business information. According to the IT Glossary, “Big Data is high-volume, high-velocity, and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.” In other words, it is an abundant array of information used to acquire insights and make business decisions.

Big data is anything which is too large for traditional databases to handle. They range from Terabytes of data to petabytes of data. Big data is generated from various sources, such as social media networks, oil wells, mobile phone conversations, weather data etc.

Big data is a relatively recent concept in the marketing world that describes the process of analyzing massive data sets to uncover trends. The data sets are so large that it would be almost impossible to find such trends without high-powered analytical technology. Big data has been facilitated by the ability to gather massive amounts of information about consumer profiles and shopping trends. The primarily facilitators of big data collection are credit card companies and online companies like Google and Facebook that track people's purchasing and computer usage patterns. Big data has been used in a lot of different industries to revolutionize everything from health care to manufacturing to government (Manyika, et al,

Generally Institutions are mature and different systems are employed by the libraries to manage their resources in an efficient manner but still many libraries remain unconvinced and show reluctance to employ and switch over to new systems. Library management refers to the issues involved in managing the resources available in library such as classification of material, book processing, Journals.

Big data is not as new as many people believe it to be. It is actually a concept that has been around for almost a century. It is just the “same old data marketers have always used, and it’s not all that big, and it’s something we should be embracing, not fearing” (Arthur). In 1944, Fremont Rider “predicted that the amount of data in the world would increase exponentially” (Hopp). Rider was right on target with his prediction seventy years ago. Data has grown much greater than he probably could have ever imagined back then.

According to Investopedia, Big Data is, “The growth in volume of structured and unstructured data, the speed at which it is created and collected, and the scope of how many points are covered. Big

Big data is an element that allows companies to leverage high volume data effectively and not in isolation. Big data needs to be quickly accessible and have the ability to be analyzed. Data stores or warehouses are one way data is managed that is persistent, protected and available as long as the data is needed. The forefather to data stores is relational data bases, relational data bases put in place decades ago are still in use today

“Why Big-Data Is a Big Deal”. Big-data is a logo used to describe a massive volume of both structured (is information already managed by the organization in relational databases ) and unstructured data (is information that is unorganized and does not fall into a pre-determined model) that is so large it is difficult to process using traditional database and software techniques. In most companies, the volume of data is too big or it moves too fast or it exceeds current processing capacity. Despite these problems, big-data has the potential to help companies improve operations and make faster, more intelligent decisions.

The “Big Data” becomes a common word now in Information Technology and Business world. These two simple English words created history and meant a ton in Global market. In past the data refers to traditional data and data volumes either in single or multiple terabyte ranges. But today it’s beyond traditional data and includes real time transactional data which is a key to the business systems.

Big data is an extensive collection of structured and unstructured data. It is a modern day technology which is applied to store, manage and analyze data that are not possible to manage, store and analyze by using the commonly used software or tools. Since all of our daily tasks are overtaken by the modern technologies and all the businesses and organizations are using internet system to operate, the production of data has increased significantly in past

Big data is not a hype, but it is the future. The big data industry continues to advance, and big data service providers are making it easier for companies to work with big data in driving their businesses. Progressively, greater volumes and varieties of data will be incorporated with more business processes to support better decision making and greater insight. Moreover,

Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Big Data focus more on finding new correlations of massive of data sets not only the causation. Big data as a term maybe new, but many IT and business analysts have worked with huge amount of data in various industries for years.

Management of information systems are changing the way that business is being done, making it more efficient and being able to target consumers. Edd Dumbill of forbes.com has written an article in which he says “information systems are moving from the back office, to being the backbone of business value creation.” (Dumbill, "Defining Big Data", 2014). Data are streams of raw facts representing events occurring in organizations or the physical environment before they have been organized and arranged into a form that people can understand and use (Laudon, 2013, pp. 15-16). Big Data can be defined as datasets with volumes so huge that they are beyond the ability of typical

There are lots of opportunity associated to big data that help any organization to handle their large amount of data, like in financial sector it store data related to finance, healthcare sector it store health related patient records, doctors detail and medicine ,medical equipment related details . In retail sector it is also used [5]. Web/social media/mobile companies also use it for storing their user detail and data like their likes, search pattern, calling and messaging records. Manufacturing and government sectors also use it.

In today’s world, the amount of unstructured data collected is humungous. This unstructured data is of no use if it is not properly processed, analyzed and evaluated. Using this data for the betterment of mankind is what most of the largest companies like Google, Facebook, Amazon, Netflix and much more are targeting. Big data is a term for datasets which are so large and complex that traditional database systems such as MS SQL, MySQL, etc., are incapable of handling them. It is not the amount of data that is important, but what organizations do with data that matters the most. Data can be mapped to useful information which can be further utilized for analyzing and drawing insights that lead to better management practices and strategic