A Survey on Big Data, Hadoop and it’s Ecosystem

Now days, The 21st century is emphasized by a rapid and enormous change in the field of information technology. It is a non-separable part of our daily life and of multiple other industries like education, genetics, entertainment, science & technology, business etc. In this information age, a vast amount of data generation takes place. This vast amount of data is referred as Big Data. There is a number of challenges present in the Big Data such as capturing data, data analysis, searching of data, sharing of data, filtering of data etc. Today Big Data is applied in various fields like shopping websites such as Amazon, Flipkart, Social networking sites such as Twitter, Facebook, and so on. It is reviewed from some literature that, the Big data tends to use different analysis methods, like predictive analysis, user analysis etc. This paper represents the fact that, Big Data required an open source technology for operating and storing huge amount of data. This paper greatly emphasizes on Apache Hadoop, which has become dominant due to its applicability for processing of big data.Hadoop supports thousands of terabytes of data. Hadoop framework facilitates the analysis of big data and its processing methodologies as well as the structure of an ecosystem

Big Data and the Transparency Debate

As its name suggests, “big data” is huge. The meme refers to the collection and analysis of vast data sets collected everywhere in the digital domain from web searches to social network communications, to Internet advertising, to even the numerous digital sensors integrated into our daily lives. Paired with increasingly sophisticated computing intelligence, the predictive power of big data has caused data to become an indispensible asset for businesses and the government. Generally, businesses use big data to target potential customers while the government uses data to monitor and enforce governmental and national security policies. Omnipresent data-mining algorithms as well as surveillance law used to generate predictions for businesses and the government, however, have raised privacy concerns and spurred a debate on the role of transparency in the Information Age. This post was originally published on the Cardozo Arts & Entertainment Law Journal website on April 4, 2014. The original post can be accessed via the Archived Link button above

LEGAL ANALYSIS OF ENTERTAINMENT APPS IN APPLE APPSTORE USING BIG DATA

This research aims to analyze the competition and legal issues among entertainment apps in Apple AppStore. The samples of this study were 2400 apps that were included in the entertainment category. Big data analytics is employed in this study to analyze the competition among entertainment apps and measured by user’s minimum age, price, in-app purchase option, rate, and a number of raters; these factors are processed using hierarchical clustering. Another factor is the description of the apps extracted to keywords and processed using LDA topic modeling and text network to analyze the competition based on the offering products/contents. Hierarchical clustering resulted 7 clusters. The user’s minimum age that the apps’ developers commonly state is four years old. The apps are majority priced at IDR.0 or free, and the highest is IDR3.299.000. The price makes it the only app in cluster 4 because there are no other apps that have a price close to it. Cluster 5 contains free apps with good performance measured by good ratings, many raters, and an in-app purchase option. Ten topics resulted from LDA topic modeling that was further visualized by the text network. Text network shows that the words game, app, video, and image are the most common words that occur in most topics; these also have a high degree centrality and betweenness centrality.

big data management

The twenty-first century is characterized by the digital revolution, and this revolution is disrupting the way business decisions are made in every industry, be it healthcare, life sciences, finance, insurance, education, entertainment, retail, etc. The Digital Revolution, also known as the Third Industrial Revolution, started in the 1980s and sparked the advancement and evolution of technology from analog electronic and mechanical devices to the shape of technology in the form of machine learning and artificial intelligence today. Today, people across the world interact and share information in various forms such as content, images, or videos through various social media platforms such as Facebook, Twitter, LinkedIn, and YouTube. Also, the twenty-first century has witnessed the adoption of handheld devices and wearable devices at a rapid rate. The types of devices we use today, be it controllers or sensors that are used across various industrial applications or in the household or for personal usage, are generating data at an alarming rate. The huge amounts of data generated today are often termed big data. We have ushered in an age of big data-driven analytics where big data does not only drive decision-making for firms but also impacts the way we use services in our daily lives. A few statistics below help provide a perspective on how much data pervades our lives today

Wall Street’s Content Wars: Financing Media Consolidation

If we frame the ongoing streaming transition occurring in the cultural industries as ‘content wars,’ with metaphoric ‘battlefronts’ in Hollywood, in Silicon Valley, and on Madison Avenue, then the silent arms dealer in this conflict is Wall Street and the investor class, whose financial engineering goes largely unacknowledged in studies of the media industries. This chapter will explore the impact of private equity in the American film, television, and music industries since 2004. The mercenaries of these content wars, private equity firms have enacted leveraged buyouts in every sector of the cultural industries: major music labels (Warner, EMI), radio networks (Cumulus, Clear Channel/iHeartMedia), film and television production and distribution companies (MGM, Miramax, Univision, Dick Clark Productions), exhibition (AMC, Odeon), the top talent agencies (CCA, WME, IMG), audience measurement (Nielsen), and the trade press (Variety, The Hollywood Reporter, Billboard). The arms race in this conflict is the ability to monetize content catalogues across streaming platforms, which is a lucrative opportunity for financialization. From a critical political economy of media perspective attuned to the significance of financial capital, this chapter demonstrates that the financialization of various components of the media sector is facilitating a dramatic extraction of value from the cultural industries, leaving further consolidation in its wake. Who is profiting from the streaming transition and who is losing out? The answers are the same as in the wider economy of the second gilded age: the wealthy are extracting private, untaxed profit from the public arena while the middle class of creatives is being hollowed out. The ‘creative destruction’ of this war is being fueled by financial engineering

Opening Our Eyes : How film contributes to the culture of the UK

Opening our eyes looks at how films are consumed and the factors which affect people’s viewing choices. It also covers the relationships audiences report between film and other activities. It goes on to explore the sorts of effects which film has upon people, their sense of identity and relationship with the world. Finally it looks at the various effects which individual films have had on those surveyed and reaches a number of conclusions.Final Published versio