As An Obvious Fact, We Have Lots Of Data In Various Fields.

Volume: (SAS, 1) The amount of data, and more importantly the ability to cheaply store large amounts have data have contributed to a better understanding of many fields. There are an ever increasing amount of data as social media continues to saturate the online experience. Social media sites such as Facebook and Twitter can generate Petabytes of data that can then be distilled. There is also the emergence of the IoT

Data is constantly being created, stored, and analyzed. The world has accumulated zettabytes worth of data up until now and expecting to get up to around 44 zettabytes in 2020(northeasternU).

With the unprecedented growth and spread of information, there is no wonder why large Information Technology companies have been investing in the “cloud”. To expand, when referring to Cloud Computing, this means to access and store information not stored with in your computer whether it be public, private, or hybrid cloud computing. In technological terms, the server you are accessing is somewhere else and therefore, the information and tools you are using are “up in the clouds” but more so stored in another server space. However, whether you are paying for

Every year the data transmitted over the internet is growing exponentially. By the end of 2016, Cisco estimates that the annual global data traffic will reach 6.6 zettabytes. The challenge will be not only to “speed up” the internet connections, but also to develop software systems that will be able to handle large data requests in optimal time. For the definition of the Big Data, there are various different

With the current shift towards a more technological state within businesses and organisations, increased costs arise. These costs often relate to data management, hardware, people, as well as a multitude of other costs. Cloud computing often alleviates these costs from an organisation or business as these services are provided through a third party. [3]“It dramatically lowers the cost of entry for smaller firms trying to benefit from compute-intensive business analytics that were hither to available only to the largest of corporations”( Avram, 2014, p531). This enables more companies and businesses to meet the rising standards and information technology practices adopted by bigger and more influential companies. [3] Cloud computing and it’s cost efficiency presents an opportunity for less developed countries to benefit from the advantages that cloud computing offers without the high costs ( Avram, 2014).

Recently, Cloud technology has turn out to be a huge buzzword, and with good reason. The cloud already creates remarkable value for clients and businesses by making the digital world simpler, faster, more powerful, and more efficient. In addition to bringing valued Internet-based services and applications, the cloud can provide a more

A major shift in the way companies obtain software and computing capacity is under way as more companies tap into Web-based applications like cloud computing and Web 2.0. A host of providers including Amazon, IBM, Oracle, and Microsoft are helping businesses use the Internet to tap into everything from more server capacity to software that helps manage the workload. Assigning these tasks to an offsite location is known as cloud computing (Kroenke, 2013, King, 2008, Wardley, 2012, Hinchcliffe, 2014).

Cloud computing as a new paradigm of information technology that offers tremendous advantages in economic aspects such as reduced time to market, flexible computing capabilities and limitless computing power. To use the full potential of cloud computing, data are transferred, processed and stored by external cloud providers.

Under the Introduction section, the authors have emphasized about the importance of Cloud Computing by describing Computing as the fifth most commonly used utility. Cloud Computing is a new computing paradigm in which computing resources are provided as a

Cloud computing system, which functions based on the concept of providing computing as a utility, can be defined as the method of providing resources for computing on demand, using remotely operational servers on the internet for data storage, processing data and managing data. Its equivalent to using a computer for its services, only without having to carry the hardware for it. Cloud applications, being dynamically scalable, agile and capable of running virtual applications and even an OS on a browser help in reducing costs of resource acquisition.

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.

Big data is a popular term used to describe the improvement and availability of data in both structured and unstructured formats. Structure data is located in a fixed field within a record or file and it is present in the relational data bases and spreadsheets whereas an unstructured data file includes text and multimedia contents. The primary objective of this big data concept is to describe the extreme volume of data sets i.e. both structured and unstructured. It is further defined with three “V” dimensions namely Volume, Velocity and Variety, and two more “V” also added Value and Veracity. Volume refers to the amount of data, Velocity depends upon the speed of the data processing, Variety is described with the types of the

Data volumes have been growing exponentially in recent years, this increase in data across all

Big data is a term used to define the amount of data, structures and unstructured, so huge that traditional data base managements techniques are rendered useless and the storage and analytics of this data pose a problem. There are various types of big data and big data can be defined in four Vs, which are: Volume, Velocity, Variety and Veracity. The problem is solved by Google Distributed File System, an application that google created for it’s own use to automatically store data.

The past thirty years have seen increasingly rapid advances in the field of Database. Moreover the amount of data being stored in electronic format has been increased dramatically. This increased gives rise to increase accumulation of data at a very quick rate. In addition, the volume of information in the world has been projected to doubles every two years. For example, the health care database system or financial database system is worth instances for the types of data that are being collected and increased dramatically. In fact we are living in a world where vast amounts of data are collected daily and we cannot stop our live to interact with data because we are actually living in an age of the data. There are Terabytes or