Essays on Big Data

Imagine a world where everything you use could capture your interactions and transmit that information to servers somewhere on the web. Imagine that toasters, washers & dryers, cars, refrigerators, phones, digital watches, TV sets, blenders, coffee makers, game consoles, smart meters, etc, recorded your usage,...

Summary The case provides an analysis of the benefits and snags associated with the use of big data in organizations. It achieves this through an analysis of organizations like Google, AutoZone, Hertz, Vestas and the Real Time Crime Center who have in the past and...

Interconnecting by using information technology in different methods creates big amounts of data. Such data requires dispensation and storing. The cloud is an online storing model where data is stored on many virtual servers. Big data dispensation denotes a new challenge in computing, specifically in...

Artificial Intelligence (AI), mobile, social and Internet of Things (IoT) are driving data complexity, new forms and sources of data. Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different...

Big data often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analysis methods that extract value from data, and seldom to a particular size of data set. The amount of data that’s being created and stored on...

Laboratories generate a significant amount of experimental data from a variety of sources – instruments, software, and human input. Since ages scientists/technicians in the lab have been spending a long time to maintain experiment data related papers and they can seem very productive with these...

Big data resembles to a data flood. The abundance of data extends day by day. Big data focus on the huge extent of data. The data may be in the form of structured, unstructured and semi structured. The structured data consist of text files that...

Big data has shaped a lot of hype by now in the corporate world. Hadoop & Spark are big data frameworks; they deliver some of the most widespread tools used to carry out mutual big data-related responsibilities. They have multiple common feature set but there...

This paper outlines the key issues adjacent to big data management in Soccer World Cup 2014 and its consequent effects on FIFA as an organizing body. It also analyzes the effect of big data on the quality of the game played, the health of the...

Data is growing at an exponential rate, there is more than 2.7 zettabytes of data in today’s digital world and an expected growth of approximately 180 zettabytes in 2025. All the data has been analyzed to tease out insights which helps organizations to make sense...

The banking sector has grown by leaps and bounds when it comes to operations and service delivery. This industry is responsible for generating humongous amount of data but having so much information with them the banks have failed to utilize this information properly from their...

The biggest threat to your data is internal and external sources that want to steal that data. The right security is the only way to defend it, and your data is one of your biggest assets. You might get away with poor security and monitoring...

In this era of information-driven world, data has become an indispensable part of our daily lives. With the combination of cloud computing, internet, and mobile devices which have become greater portions of our lives and businesses, huge data are generated every day (Hima Bindu et...

Introduction Background With the advent of computers and Internet technology, the scopes for collecting data and using them for various purposes has exploded. The possibilities are especially alluring when it comes to textual data. Converting the vast amount of data that has accumulated over the...

The world we live in is increasingly growing in the ways that data is obtained and used by the companies that we frequent. While the term “big data” is somewhat new in terminology, the concept of massive quantities of data being utilized by companies for...

This essay will discuss the importance of database management, how it came about, its key principles, its implementation and how it benefits an organisation or society. What is database management? Database management is simply the act of manipulating and controlling data to fulfil the user’s...

Abstract In 2015 assault influencing the US Government’s Office of Personnel Management has been ascribed to what’s being described as on-going cyberwar between China and the U.S. The most recent rounds of assaults have been alluded to utilizing a wide range of codenames, with Deep...

A geographic data framework (GIS) is a framework expected to catch, store, control, dissect, oversee, and demonstrate a wide range of geological information. The catchphrase to this advancement is Geography implies that some piece of the information is spatial. Around the day’s end, data that...

The greatness of the blockchain technology cannot be overemphasized. Because the advent of blockchain made ways for crypto currencies the world is benefitting now. But you will believe me that greatness comes with a price. As for the blockchain technology, it pays the price with...

In today’s ever-changing world, where every new day throws upon us new challenges that need to be dealt with, the right information and the way to use it insightfully is what will make a person or an organization stay relevant. I understand the reach that...

Data is unorganized information in raw form. We are currently in the age of Big Data which are large data sets that can be characterized by large volume, complexity, variety, velocity, resolution, flexibility etc. This data cannot be handled with traditional software systems, but with...

The progressive information technologies which have resulted from the evolution of Location-Based Services (LBSs) have hugely enhanced people’s urban lives. Location-Based Social Networks (LBSNs) provide users platforms to check-in and share their current locations, thoughts, experiences and reviews about Point-of-Interest (POI) with their anyone. These...

With the advance growing of technology, expansion of research areas, deployment of different commercial and open sources GIS systems has lead out a massive collection of data stored in different debases. Nowadays, we generate about several trillion bytes of data every day, characterized by high...

Data analytics is the process of examining data sets in order to draw conclusions about the information they contain. This is done with the aid of specialised systems and software. In this report I will talk about data analytics, and discuss some of the strengths,...

Electroneum has been making a big impact in the payment market and has seen the coin gain a lot of attention and attraction and the price growth has been steady in a relatively bearish crypto space. The coin has jumped to become 63rd of the...

Introduction The nееd fоr humаnѕ tо interact actively wіth еасh оthеr іn аn еffесtіvе аnd fаѕt manner is one of the mаjоr асhіеvеmеntѕ оf thе internet. The орtіоn of thе mаnnеr оf the соmmunісаtіоn іѕ a nеw fасtоr іntrоduсеd bу the dіgіtаl revolution. Wіth thіѕ...

There’s a problem within big data. The problem is that there’s too much information and not enough talent to manage it. The supply of analysts and data scientists can’t keep up with the ever growing demand for this type of talent. This shortage presents a...

The data that an origination used to have in their severs and hard disks was just data but suddenly a new term popped up which was “Big data”, big data is the term used to describe massive volume of structured or unstructured data that is...

Big data Analytics involves gathering data from several resources, store it in a way that it becomes structured enough to be processed by data analysts and ultimately deliver the data product useful to organizations or businesses. The process of converting large amount of unstructured raw...

Workflows are complex and built using a variety of available tools for the Hadoop ecosystem: Hive, Pig, and MapReduce are the three primary processing interfaces. Avro is used as the serialization format. The data stored on HDFS is processed by chained MapReduce jobs that form...