Staggering Revelations About Big Data

As defined by the magazine, CQ Researcher, big data is the collection and analysis of enormous amounts of information by supercomputers (CQ Researcher, 1). This collection and analysis has led to many great feats in the fields physics, medicine, social

Although technology has provided tools to enhance our capabilities in things such as finding a missing person, solving murder cases based on technological assets etc.., this technology also leaves us vulnerable in many ways to slowly losing our privacy (Burten, C., 2012).

They used facts and arguments from various sources, such as studies and authors. As they are introducing the topic, they use the ideas of Lev Manovich to justify their argument that the name “Big Data” can be misleading. Manovich observed that Big Data has been used to refer to data sets large enough to require supercomputers, yet large amounts of data can now be analyzed on much simpler computers. Boyd and Crawford contend that the value of the industry does not simply come from the large data sets, but the “patterns that can be derived by making connections between pieces of data…” By relating Manovich’s idea, their argument made more sense. As computers become more advanced, bigger data sets look much simpler. But the connections Big Data makes are still valuable, no matter how advanced computers

Our every day life has changed forever, thanks for the ubiquitous smart phones and technology dependent information age. We leave a trail of data while travelling, shopping, driveing, bloggin, and even voting. All of these activities leave a digital signature unique to us, which if analyzed can predict our next move. Similarly, a large set of data is being created each day by businesses, researchers and the World Wide Web. According to an estimate by the government, there are about 1.2 zettabytes (250 billion DVDs) of electronic data generated each year by everything from underground physics experiments and telescopes to retail transactions and Twitter posts (Mervis 22). This data growth has created a new challenge and opportunity. The

Big data is the present most-liked theme of today 's technology. These research goes through all description of techniques and technologies of extracting of the data, storing of data, distribution of data, analyzing of data, managing of data with high velocity and from the structured data and helps in the handling of the extreme data. Big data has the presentation the capacity to improve predictions, saving money and enhancing the decision making process in the fields of the traffic control, weather forecasting, disaster prevention, fraud control, business transaction, education system, health and the national security.

According to researcher and tech author Bernard Marr, every two days humanity creates as much data as it did from the beginning of time to 2003. Every minute of the day, Facebook users share nearly 2.5 million elements of content and WhatsApp users share around 350,000 photos. And the world is far from fully connected. When the next billion Internet users come online, these numbers will only skyrocket. Fold in the data generated by connected machines and the Internet of Things (IoT), and we 're talking lots and lots of

Even something as common as a database is being advanced in the fight to protect

The amount of data on the planet in 2014 was around 4.4 zettabytes. It’s expected to grow to 44ZB by the year 2020. It’s also predicted that by 2020, the amount of information produced by machines will account for about 10% of data on earth. One Zettabyte is 1000 Exabytes or 1 Billion Terrabytes. To put it in perspective, with one exabyte of data, a person can watch 36,000 years worth of HD videos. So, with one zettabyte of data, thousands of generations can watch 36 million years of HD videos. One doesn’t have to be Albert Einstein to know that the amount of data usage on this planet will reach

"Such ‘Data Explosions ' has led to one of the most challenging research issues of the current Information and Communication Technology (ICT) era: how to effectively and optimally manage such large amount of data and identify new ways to analyze large amounts of data for unlocking information. The issue is also known as the ‘Big Data ' problem, which is defined as the practice of collecting complex data sets so large that it becomes difficult to analyze and interpret manually or using on-hand data management applications. From the perspective of real-world applications, the Big Data problem has also become a common phenomenon in domain of science, medicine, engineering, and commerce"

Big Data is all around us, from creating our anniversary videos on Facebook and giving Netflix recommendations to utilizing all cellphones as weather stations to improve predictions (source 4) and combining it with machine learning for interesting insights. (source 5) All this data needs to be processed, creating a multitude of jobs in the data science field. Companies with products relying heavily in internet are investing heavily in Big Data, companies such as Uber, Spotify, Google and IBM to name a

The term Big data refers to the procedure to store and oversee extensive arrangements of information. In todays world and age of specialized gadgets, for example, portable workstations, cell phones and PCs information is being created in high limits. To manage information on this expansive scale enormous information is utilized. In this paper, we have introduced the ideas of huge information and its investigation. Moreover, mainstream information examination at present utilized have been clarified.

Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.

Before this digital form of a dark age takes over, what must be done to preserve our digital information and records and keep them from disappearing? Foremost, we need to boost

For example Facebook alone generates 10 Tb of data (each day), twitter generates 7 Tb which is very huge volume of data being generated and upgraded. Previously the data was maximum considered in gigabytes but nowadays data is generated in Terabytes to Petabytes and sometime in future it will reach to Zettabytes which huge volume of data if we consider social industry and if take other industry like finance where the data makes a big difference like the stock market which is globally hundreds of stock exchanges there are other data like company’s fundamental data, this is also generating GB/TB of data in volume which is collectively in TB/PB.

Today, as the internet is becoming ubiquitous in our lives so is information. Scientists have even calculated the estimate data that we as humans have stored since the year 1996. It is no surprise that we have stored over 295 Exabyte of data and this is just until the year 2010 and today we are 7 years since [1]. Imagine how much data we might have stored! The thing to ponder about is that what is this data? Is this just books and news publications or photos and videos of users? This is something we might never know precisely but we can assume that as photos and videos constitute for the most part in terms of data storage. One might question how the companies who keep all this data for free make money? A simple answer to that is ‘data’