What Is Big Data?

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.

The analysis of big data is the process of organizing, collection, analyze and examining the large volume of data to find patterns, market trends and useful information. This analysis helps organizations to better understanding about the information within data, and helps analyst to make better

Technology companies are using big data to analyze millions of voice samples to deliver more reliable and accurate voice interfaces. Banks are using big data techniques to im- prove fraud detection. Health care providers are leveraging more detailed data to im- prove patient treatment. Big data is being used by manufacturers to improve warranty management and equipment monitoring, as well as to optimize the logistics of getting their products to market. Retailers are harnessing a wide range of customer interactions, both online and offline, in order to provide more tailored recommendations and optimal pricing.96

What is Big Data? Big Data is the mass collection of user data by mathematical algorithms, databases, data mining, and the use of datasets that were once believed to be static and unusable. Big Data’s history goes way back “…70 years to the first attempts to quantify the growth rate in the volume of data, or what has popularly been known as the “information explosion” (Press, Gil).” Researchers had predicted the massive growth of information and how our ability to collect and store it would need to continue to grow as well.

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.

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 a newer term that has been introduced to the technology world. By definition, the term “Big Data” refers to large amounts of complex sets of data, their relationships and their analysis. (Electronic Privacy Info Center). It can also be defined as a “collection of data from traditional and

Like the traditional data, big data through a series of steps that contain collection, storage and analysis to form a complete system to help both enterprises and individuals produce an optimum strategy or decision and maximize benefits in their stance. As for traditional data system, it is usually not enough accurate in analyze the phenomenon or the situation due to lack of sufficient data that results from the speed of collecting data is relatively low and the process

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 has gained massive importance in IT and Business today. A report recently published state that use of big data by a retailer could increase its operating margin by more than 60 percent and it also states that US health care sector could make more than $300 billion profit with the use of big data. There are many other sectors that could profit largely by proper analysis and usage of big data.

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

Predictive analytics. Predictive analytics can be practically employed to all disciplines as it applies several techniques to discover patterns and capture relationships of historical and current data in order to predict future outcomes. Predictive analytics techniques are divided into two areas: one that trying to uncover the historical patterns in the outcome variable(s) and infer them to the future, another seeking to capture the interdependencies between outcome variable(s) and explanatory variables, and exploit them to make predictions (Gandomi & Haider, 2015).

Big Data is the term which is used for data sets to make a very large application for processing the data. The Processing may involve analysis, search, sharing, storage, visualization and privacy information. Big data is a type of predictive analysis which is used for the purpose of extract the value from data. The data sets are used for the purpose of analysis to find the new correlation of business trends, for the prevention of diseases and so on.

So what exactly is Big Data? This can be a point of contention amongst even those who work with big data all the time so the description that follows is only one of many. Big Data is best characterised by 3Vs: volume, variety and velocity. Volume refers to the extreme amounts of data, variety to the varying types of said data and velocity to the speed at which the data must be processed. Big Data does not actually refer to a specific quantity of data as many might assume by looking at the term but it is often used when speaking about massive volumes of data in the range of Exabyte’s (Rouse, 2014), most of which cannot be integrated easily.

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