What Is Data Science?

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

Let’s take a step back and affirm that we are living in the era of fourth industrial revolution. Artificial Intelligence, Machine Learning, Advanced Analytics, Blockchains, etc are taking us to places which only existed in sci-fi. Now, let us ask ourselves a question as inventors of ever-evolving

Since the 1970’s databases and report generators have been used to aid business decisions. In the 1990’s technology in this area improved. Now technology such as Hadoop has gone another step with the ability to store and process the data within the same system which sparked new buzz about “big data”. Big Data is roughly the collection of large amounts of data – sourced internally or externally - applied as a tool – stored, managed, and analyzed - for an organization to set or meet certain goals.

Many people have become so immersed in data, that they are unable to recognize the data that they have been exposed to. For example, many college students either watch tv or listen to music while completing homework. Students often time just see this as background noise when in reality this is data that become stored in your unconscious mind. The film Big Data gives a visual account of how much data streaming has impacted society both negatively and positively through the use of data analysis. Data has taken away the ability to remain anonymous and has also sparked a decline in human interpersonal skills. However, Data also has allowed humanity to collect new information providing new solutions to world issues. The film Big Data is able to

As we’ve moved further into the twenty-first century, our world and society has been immersed into the digital world. With this digitization of our culture we have created a new resource, data. Data has become king in the Age of Intelligence, it fuels most of what technology companies use to make money. Companies like Google, Facebook, Amazon, ect. have leveraged their vast amounts of data generated by the millions of internet users to better advertise and attract more users. Surprisingly most of this data collection is created and aggregated unbeknownst to the users. This is where the problems start to show themselves. When users are generating 2.5 quintillion bytes of data each day, as estimated by IBM,(https://www-01.ibm.com/software/data/bigdata/what-is-big-data.html),

1) As big data is emphasized by more and more people, and the techniques and analytical

Big Data refers to the large amounts of data that businesses deal with on a day-to-day basis. Big Data can be defined in many ways, but this is one of the most general definitions. One of the primary uses businesses have for Big Data is to provide assistance for decision making. In order for Big Data to be effective, organizations must utilize the data to their advantage. The quality of information is what matters, not the quantity. Organizations may have virtually unlimited amounts of data to work with, but they must locate the helpful portions of data in order for it to be effective and serve its purpose. In addition, some data may not be helpful at the present moment in time, but will be needed for analysis in the future (“What Is Big Data?”,

1. Data Science is the collection and curating of mass data for analysis whereas the Artificial

The way big data is used these days is to gather deep and useful information about people’s behaviour and sentiments. According to Katina Michael and Keith Miller - “Organizations use various analytical techniques— from crowdsourcing to genetic algorithms to neural networks to sentiment

The analyzation of data—or the observation of information—has never been an uncommon occurrence; these analyses have grown exponentially since the rise of technology in the 21st century. The results produced through big data analysis have the potential to be paradigm-altering; the implications run much deeper than simply connecting x to y. Although its foundations have been interwoven into society, big data has only recently become a commonly known term. Still, very few are well versed in the subject. What exactly is big data? Danah Boyd and Kate Crawford put it in the simplest terms when they define it as, “very large data sets and the tools and procedures used to manipulate and analyze them” (Boyd and Crawford). This manipulation is vital to many large corporations as they attempt to harness the data in order to personalize the consumer experience in their business techniques. Since its inception, big data has warranted a moral investigation: ethicists have been scrambling to determine how this alien method of marketing should be dealt with. There have been the supporters of big data use, while there have also been those who disapprove,vehemently denouncing even the idea of such a thing. In this paper, big data will be described exactly, including the way it is projected to affect the marketing world, and how utilitarianism should be applied to the moral dilemma in order to reach a satisfactory resolution on the topic.

Big Data Analytics: One of the perspectives advertised by cloud computing is the capacity to take benefit from boundless amount of both sorted out and disorganized data o tackle the upside of detach business respect. Retailers and suppliers are also expelled out information which they got from buyers buying to concentrate on their raise and promote to particular couple of peoples .

The introduction part is very clearly explained showing how Big Data can be used and what are the main challenges being faced today due to volume, autonomous, complexity and heterogeneity of data, but drawing the conclusion from the examples mentioned is incomprehensible.

The information age is also the age of massive data collection, of databases, records, data mining and big data in all it’s empowering and destructive potential. Not only since the Snowden leaks of 2012 has the question of, who records and who is being recorded become of interest to a wide audience. Access to such data collection, the knowledge about it and the subjects’ relation to all-encompassing technology have been the basis of many influential writings of the last two decades.

Q) What are the 7 v’s mentioned in the paper? Briefly describe each V in one

The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of ``Big Data.’’ While the promise of Big Data is real -- for example, it is estimated that Google alone contributed 54 billion dollars to the US economy in 2009 -- there is currently a wide gap between its potential and its realization.