Big Data Essay

Big data and its definition has changed over the years. In a 2011 research project by MGI and Mckinsey’s Business’ defined big data as

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.

The idea of Big Data is not new. It is only new to most people who never thought about it until an article shows up when they scroll down their Facebook newsfeed. The history of Big Data goes all the way back to 18,000 BCE

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

Map function is simple as it take out the year andthe temperature only because our focus is only

Although big data has many benefits, it can also be an obstacle if it is not utilized properly. Google created software which was intended to see “how many people had influenza and how the disease was spreading” (Laudon 245). In reality, Google didn’t collect meaningful big data, instead they collected data which was biased by “widespread media coverage of that year’s severe flu season in the United States, which was further amplified by social media

Big Data is not just simply come from itself it is been recorded and generated by some data generating source. For instance, if we have our ability to feel and realize the arena around us, from our own heart rate and getting the data of toxins that are present in the air we leave this will produce more than one million terabytes of unparalleled data for every day. Furthermore, scientific experiments will also produce petabytes of data today.

Abstract— The Data which is structured and unstructured and is so large with massive volume that it is not possible by traditional database system to process this data is termed as Big Data. The governance, organization and administration of the big data is known as Big Data Management. For reporting and analysis purposes we use data warehouse techniques to process data. These are the central repositories from disparate data sources. Now Big Data Management also requires the data warehousing techniques for future predictions and reporting. So in this paper we touched certain issues of data warehousing usage in Big Data management, its applications as well as limitations also and tried to give the ways data warehousing is useful in Big Data Management.

Big Data. What is big data? As it becomes a more relevant part of the business world, this report covers how to use it, what its benefits are, and what fields it works well in.

Industry is thriving to capture the flood of data present today. Every sector has millions trillions of data which is increasing with extreme velocity to be handled. Social media has been fueling up data growth exponentially. Although human race has been generating data for thousands of years but recent decade has put forward a new

Big Data is garnering great recognition for its data-driven decision making methodology. Right from data acquisition where there is a flood of data available, we need to make effective decisions about usage of data. Privacy, scalability, complexity and timeliness are the problems that hinder the progress of Big Data.

Big data refers to the growing data a company experiences but this data has to be managed and processed to convert it into useful information. For example, a company XYZ just launched an e-commerce website and its receiving a

Big data is an extremely important topic for future developments, growth trends and similarities between certain things. From a Microsoft blog published in 2013 big data is “the process of applying serious computing power” (HowieT, 2013). Another article describes big data as data that “exceeds the processing capacity of conventional database systems” (Dumbill, 2012). Based on these definitions and many more alike, big data refers to or can be described as recorded information that exceeds capacity. As brief as this is, data can be recorded using many instruments and even through observation. This topic is interesting to research and develop as new technologies are more capable at storing and reading mass data. With technology advancements, a method that took half a day, more than ten years ago, would only take a couple of minutes using present technologies. As big data is getting more widely used more businesses and enterprises will be interested in the trends shown.

This article can be regarded as current since it was published in 2013. What is more, the authors of this text both work for the department of business in the universities. They may have specific expertise or knowledge in the field of big data as it is an essential factor in business. Furthermore, Business Intelligence Journal contains a professional data warehouse for business. As a result, this article is also authoritative and reliable. Besides, as a journal article, not only does it follow the usual academic conventions like in-text citations and references, but also its language is impersonal and formal, which seems to be objective. Big data has become a useful tool to help companies make decisions and turn to customer-centred

Big data and big data analytics are used to describe data sets and analytical techniques in applications that are so large and complex and require special technologies to analyze and visualize them.