What Is Big Data?

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.

2.1 Data Acquisition and Recording 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.

Analysis of big data 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

It is that time of year again, to sit back, and reflect on everything that has happened in the past year and to make predictions of what will happen in the years to come. The new job that is starting to move out of the woodworks is ‘Big Data.’ These

The benefits of big-data analytics on business performance “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.

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

What is ‘Big Data?’ Understanding what big data means is really simple.” It is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it” (Big Data Analytics).Big data is being produced by everyone and every day that finding ways way to manage this data is becoming a challenge. It arrives from multiple sources or touch points such as websites, social media or apps on smart phones at a high velocity, volume and variety. “All kinds of technologies or approaches including mobile devices, remote sensing technologies, software logs, wireless sensor networks, social media etc. are used by organizations to collect big data. (issue, 2013)” Now that the meaning of ‘big data’ is clear, it’s important to know that this information is useless unless it’s processed properly with the right tools. To extract meaningful value from big data companies spends fortune; it requires optimal processing power, analytics capabilities and skills.

B. INTRODUCTION 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 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.

People may do not know what is big data but the value created by big data should be used in every corn of the world. In the United States, the CDC (Centers for Disease Control and Prevention) got information through doctors inform new diseases. But because when people feel little uncomfortable they will not go to the doctor, may only search on google about which symptom is belong to and which medicine should take. So in 2009 before the H1N1 virus made headlines, google engineers already have prediction about which states may have higher infection. This is before CDC few weeks. [1] Strikingly, this case illustrate the importance of analysis data could help society become better.

The efficiency of using the Association Rules Mining is to 1. Process the number of passes for the database. 2. Sampling the database process. 3. For the pattern structure, adding extra constraints. 4. By using the Parallelization Big Data: 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.

The massive amount of data available is where the term “big” data comes from. The processing power of a typical server is not vast enough to store this data; new technologies help to ease this burden. To put into perspective how much data is out there, six billion people today have cell phones that are transmitting data. Most United States company currently store a minimum of one-hundred terabytes. It is estimated that by the year 2020, there will be forty zettabytes of data available. This is three-hundred times the amount available in twelve years ago.

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