The Big Data Related Activities

Every day, we produce 2.5 quintillion bytes of data. 90% of all data in the world was produced in the past two years. Data has been around forever; we have always gathered information. Paleolithic cavemen recorded their activities by carving them in stone or notching them in sticks. Egyptians used hieroglyphics to record significant events in history. The Library of Alexandria was home to half-a-million scrolls of the ancient world. Less than hundred years ago, we used punch cards to record and store information. As technology continues to evolve, the amount of data we store continues to grow. We’ve come a long way since stone tablets, scrolls, and punch cards. It’s important to understand the concept of big data and the impact is has created. This paper will define the classifications of data, explain the challenges of big data, and describe how big data analytics is being used in today’s data driven world.

Big Data is an expansive phrase for data sets so called big, large or complex that they are very difficult to process using traditional data processing applications. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. In common usage, the term big data has largely come to refer simply to the use of predictive analytics. Big data is a set of techniques and technologies that need or require new forms of integration to expose large invisible values from large datasets that are diverse, complex, and of a massive scale. When big data is effectively and efficiently captured, processed, and analyzed, companies

Big data is buzzword in every field of business as well as research. Organizations have found its application across various sectors from Sports to Security, from Healthcare to e-Commerce.

According to the article, 2.8ZB of data has been created and replicated in 2012. The proliferation of devices such as PCs and smartphones worldwide, increased Internet access within emerging markets and the boost in data from machines such as surveillance cameras or smart meters has contributed to the doubling of the digital universe. IDC projects that the digital universe will reach 40 ZB by 2020, an amount that exceeds previous forecasts by 14%. Thus, data is not narrowed to big only; it is actually huge. Like, 40 ZB data is the equivalent of 1.7 MBs of new information created by the every single human for every second of the day. Developing countries like China and India are currently covering 36% of digital universe; the prediction says it will be increased up to 62% by 2020. So the companies will have numerous scopes to dig out more data and analyze them as per their requirement. Despite the unprecedented expansion of the digital universe due to the massive amounts of data being generated daily by people and machines, IDC estimates that only 0.5% of the world’s data is being analyzed.

In this note, we tackle both the hype and practical matters surrounding big data, including questions

According to google big data is defined as, “Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions”. Big data has taken off with the use of cloud computing. Though they sound the same, the main difference between cloud computing and big data is the cloud is the actual infrastructure while big data is the actual content you will see in the database. Today’s industry is built on information, the more information a person can get to know about you, the more they can use to their advantage. A good example of this is the shirts you buy off an online retailer. If you have information and trends that show you may get suggestions similar to that brand with recommendations or even get promotional coupons depending on how much information you have given to this company about yourself. These companies with their powerful databases can look at an individual user making this concept very powerful in today’s market. According to Ularu, Puican, Apostu, and Valicanu (2012), “IBM’s view Big Data has four aspects: Volume… Velocity… Variety… Veracity.” These are all determined from the how big the size and complexity of each set of data. Volume is the

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.

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 –

Today, however USB drives the size of a packet of candy hold up to 256GB of data. In 1956, the RAMAC 305 stored 5 million characters. Today, hard drives stores as much as 3TB of data and solid-state (SSD) technology is swiftly approaching a terabyte of capability in a solo drive. (Chen 2003)

Big data is often referred to and defined in many different ways.In layman terms, we can interpret it as massive or huge amounts of information which cannot be handled efficiently by the current technologies and softwares. But recent technological advancements like data analytics, and social or media networks allow process, transfer, allocate, measure and represent enormous amounts of data which can also be referred to as Big Data.

The key themes discussed in the book are: 1) tools and architecture being used for powerful storage or processing of high volume streaming data; 2) how companies are moving from traditional warehouses to managed cloud services, building data pipelines and optimizing the hardware resources to squeeze maximum computation capacity; 3) comparing the three dominant cloud service providers : AWS, GCP and Azure powered by Amazon, Google and Microsoft respectively, in terms of differentiation, cost and performance ; 4) how

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 truly basic to our life and its rising as a standout amongst the most essential innovations in current world. Take after are only couple of advantages which are especially known to every one of us:

In modern times, the amount of data being stored is terrifically large. Companies must deal with such abundance of data on a daily basis in both storing and analyzing as

As shown in Fig 2 data volume has grown exponentially in recent years. Not only did the