The increasing popularity of Big Data and Cloud Computing has caused a wide range of discussions within the sphere of information technologies. As a consequence, numerous arguments regarding such technologies have appeared. Therefore, the following paper lingers upon the discussion and description of the basic concepts regarding Big Data and Cloud Computing. To be more exact, the study suggests a meaningful literature review, which identifies the contemporary definition of these technologies, critique, their current state and potential prospects of the development.
By the same token, current paper discusses the following issues: the advantages and disadvantages of Big Data and Cloud Computing; the impacts of these technologies concerning the entire sphere of information technologies; the applications, which utilize these technologies. In addition, the paper illustrates one of the contemporary issues regarding Big Data and Cloud Computing.
As a result, the findings of the study witness the entirely new approach within the discipline of information technologies. In fact, Big Data and Cloud Computing suggest new ways of accessing, transformation and storage of data. Actually, these technologies provide an efficient processing of large amounts of data without any respect to the levels of their structure. To the broadest extent, Big Data and Cloud Computing ignore the traditional hierarchy of data warehousing. Thus, it is important to note that such technologies actually economize on the warehouse hardware and the other equipment. Still, it is worth saying that the study proves the fact that Big Data and Cloud Computing are still in the process of the development. As a result, they are mainly regarded as the alternatives to the traditional approaches within the field of information technologies even though the largest corporations have already acquired these technologies successfully.
Nobody would deny the fact that the information technologies are increasingly becoming the essential part of many fields of human activity. In fact, they give people the opportunity to respond to various phenomena with an accurate precision. Therefore, the discussions of information technologies development have been heightened in recent times. To be more exact, the most important subject of these discussions is particularly focused on the essence and prospects of such information technologies as Big Data and Cloud Computing. In recent years, there has been an increasing interest in these technologies due to the numerous reasons. Big Data and Cloud Computing have made a revolution within the discipline of information technologies due to their serving a wide range of considerations. Namely, these technologies are a new step in the development of the entire discipline. Needless to say, that various opinions concerning this statement have emerged.
Taking these points into consideration, it is necessary to critically discuss the essence of Big Data and Cloud Computing. Hence, current study gives an account to the discussion of current state of the technologies and assumes potential directions of the further development. In such way, the paper covers meaningful amount of the relevant literature regarding both of these technologies. To be more exact, the paper defines the terms of the technologies and describes the limitations to them. Besides that, the study distinguishes the relationship between Big Data and Cloud Computing. Further, the paper lingers upon the critical discussion of these technologies. Namely, the discussion touches upon advantages and disadvantages, impacts to different extents and related applications of Big Data and Cloud Computing. Eventually, as the thesis and the layout of the paper have been outlined, it is necessary to proceed to the section, which is focused on the review of the related literature.
To begin with, it is necessary to define the terms of Big Data and Cloud Computing. Thus, Big Data is commonly defined as a group of methods and techniques which operate with large amount of structured and unstructured data. However, some other definitions still exist. Due to that, Big Data has been defined as a technology which makes data no longer static. In other words, the data becomes capable of speaking for itself (Cukier & Mayer-Schönberger, 2023). To put it in a simpler way, data of big volumes structures itself in accordance with automatically chosen or initially set parameters so that there is no need for its interpretation. As a consequence, Big Data has been applied to the issues of business intelligence.
Subsequently, Cloud Computing has to be defined. Actually, Cloud Computing is a model of the wide and localized access to the database or network without involvement of the external party. In other words, as Jamsa describes, it is a technology of data accessing without communication complexities (2023). To the broadest extent, this technology works according to the principle everyone sees everything. Doubtless, such model enables users of a particular network to access any piece of data within the cloud, which is capable of containing various networks at the same time. By the same token, the hierarchy of classical networking is ignored. As a result, an organization economizes on the physical infrastructure of its network.
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Besides that, it is necessary to emphasize on the relationship between these technologies. In fact, Big Data strives for the storage capacities of a cloud server. As a consequence, Cloud Computing supplies Big Data with rapid access to the volumes and multi-directed interpretation (Chen, 2014, p.12). In such way, Cloud Computing boosts the performance of Big Data in terms of processing large volumes of data. Needless to say, that the performance of Big Data accelerates the performance of Cloud Computing, as well. To be more exact, Big Data simply provides a virtual space for storage and operation of Cloud Computing activities.
Moreover, both of these technologies are serving the same considerations in any sphere of human activity. In fact, these technologies are particularly focused on the quick accessing large amounts of data and direct exchange within related networks. To the broadest extent, the existence of such technologies separate from each other would minimize their contribution to the sphere of information technologies.
Generally speaking, Big Data and Cloud Computing are striving for such important objectives of information technologies as speed and amount. On the contrary, many opinions argue that there has been a little evidence of positive relationship between Big Data and Cloud Computing. To some extents, such opinions actually have the right to be regarded as adequate ones. Although, it is worth mentioning that the differences between these technologies are based on the technological essence, while the prominent attention is paid to the empirical evidence of cooperation between Big Data and Cloud Computing.
In the same way, the criticism has emerged with the expression of the following assumption. To be more specific, this assumption is based on the opinion that Big Data and Cloud Computing do not actually economize on the networking infrastructure. The platforms for the technologies are virtual and powered by the software, which is downloadable and commonly updatable. In such way, information technologies have lost their value in the direct meaning. Hence, obtaining a developed IT system is no longer a privilege of any company (Needham, 2013). By the same token, the technologies are less reliable because they do not present any physical evidence. That is why it is difficult to detect problems in them.
Conversely, the other assumption argues about the limitations of these technologies. In fact, this assumption claims that these technologies are affordable only for relatively large organizations. It is certainly true in the variety of cases, but it is important to note that Big Data and Cloud Computing are primarily focused on the operation within large enterprises. As a consequence, a related wave of criticism has emerged, as well. The critiques are expressing concerns about the overall competition among the organizations of different size.
Namely, the companies, which have managed to implement such technologies, will accelerate them so that the relatively small organizations could not have the opportunity to grow drastically. All in all, it should be noted that such criticism is typical for significant phenomena in any sphere. In addition, several assumptions are definitely adequate and they help direct the further development of Big Data and Cloud Computing.
Speaking about the current state of both technologies, it is necessary to say that their emerging has proclaimed the beginning of a new era. Therefore, Big Data and Cloud Computing are having a long-termed prospect for their further development and technologic improvement. To be more specific, these technologies have already become an organization-oriented tool. However, such business-focused approach has not finished its integration process. Namely, organizations are able to incorporate Big Data and Cloud Computing in their infrastructure of information technologies but with the service of a third party (Krishnan, 2023).
In such way, the technologies have not been adjusted to the business environment completely. In contrast, one may argue that these technologies are focused not only on the business environment. It is true to a certain extent, but it is worth saying that the principles of operating such technologies are the same. In fact, it is one more aspect which has not been improved enough. Actually, the same principles of operating mean the same costs to be spent. Therefore, many non-business organizations simply cannot afford such technologies. However, it is important to note that both technologies, especially Cloud Computing, have successfully acquired the sphere of the online marketing. In particular, such online enterprises as Amazon, Google and others have already implemented the technologies. Needless to say, that utilizing of these technologies by such enterprises proves their promising future. As a consequence, it should be noted that certain gaps in the current state of Big Data and Cloud Computing have to be perceived in the positive connotation.
Still, it is important to note that the future will require the creation of breakthrough technologies which will enable Big Data and Cloud Computing to fill their current gaps. In general, they are expected to address the summary of issues regarding computing, engineering and even mathematics (Gorton & Gracio, 2023). Hence, it is to be said that the future of Big Data and Cloud Computing is supposed to be based on the following solutions: first of all, new algorithms of data searching within data volumes are expected to be designed; in a similar way, the overall performance rates of the technologies will be heightened; the flexibility of the file systems will be developed; the security considerations will be taken into consideration. In addition, it is important to emphasize on the solution of data size reduction. Actually, this aspect is crucial concerning the ability of these technologies to be applied to any organization. All in all, it is the main point regarding the review of the related literature.
To start the discussion with, it is necessary to give an account to the advantages of Big Data and Cloud Computing. Nobody would deny the fact that Big Data and Cloud Computing enable organizations to interpret and move large data without considerable efforts for the information technology infrastructure. In a similar way, these technologies economize on the hardware and additional equipment. What is more, Big Data and Cloud Computing are easy to access. As a consequence, the availability of such technologies provides users with the clouds of public and personal access. Furthermore, speaking about the technologies from the perspective of the enterprise warehousing, it is important to admit that a wide range of database operations can be handled with minimal expenditures of time and effort due to Big Data and Cloud Computing (Bhatnagar & Srinivasa, 2022). In addition, it is worth saying that the variety of opportunities will be available in the way which has been described in the previous section. Though, despite of all the advantages, it is necessary to discuss the disadvantages of Big Data and Cloud Computing.
Conversely, Big Data and Cloud Computing still may have certain difficulties, which occur to be quite challenging for many organizations. First of all, the accessibility of such technologies partially depends on the providers. Doubtless, providers may fail to cope with quick response and transactional procedures so that such sort of mishaps is reflected on the performance of the organization. By the same token, the reliability of some providers leaves much to be desired so that a data manager is supposed to make sure that the provider is eligible for servicing the organization. Concerning the databases, which presuppose the highest requirements to the privacy, it is important to mention that the security consideration is still a weak point of Big Data and Cloud Computing. Eventually, the maintenance of the technologies demands a wide range of skills to be acquired. Therefore, it should be admitted that Big Data and Cloud Computing principles are not simplified sufficiently. Nevertheless, it is increasingly difficult to ignore the fact that these technologies have already made a drastic impact on the sphere of information technologies. Thus, it is important to discuss them, as well.
In such way, it is necessary to admit that Big Data and Cloud Computing have made an impact on the variety of aspects regarding the daily life of people. In fact, transformation and storage of large amounts of data within social networks, emails, enterprise databases and archives has been considerably boosted due to the implementation of the technologies. Moreover, the data storage has reached a scale of ZettaByte (Hong et al.; 2023. Besides that, it is worth admitting that the entire group of organizations, which are thriving within the segment of their businesses, has emerged. In the view of this fact, it should be noted that many organizations have defeated their competitors due to utilizing Big Data and Cloud Computing. Even more, it is worth saying that the impact of such technologies is also implied in their capacity to operate with different types of data. Namely, means of Big Data and Cloud Computing are able to combine data of different levels of structure. As a result, it is possible to say that hierarchical warehousing is not up-to-date any longer.
Taking all these points into consideration, it is necessary to say that several issues regarding Big Data and Cloud Computing have emerged. To be more specific, one of these controversies states the fact that the technologies are still accepted as the alternative to a traditional infrastructure of information technologies. On the contrary, as it has been mentioned before, a wide range of organizations has been raised due to Big Data and Cloud Computing. Actually, it can be explained by numerous facts. Primarily, the technologies are relatively expensive so that not every single organization is able to afford them. Even more, as it has been already mentioned, these technologies require the variety of skills to be acquired for their successful maintenance. Having considered previous points, it is to be noted that they contribute to one more assumption within the terms of the issue. In particular, the incorporation of Big Data and Cloud computing is rather complicated and expensive procedure so that in case of a failure an organization may face a considerable loss.
Eventually, speaking about the related applications of Big Data and Cloud Computing, first of all it is necessary to emphasize the integration of Big Data with Business Intelligence. Actually, this technology is known for clever data interpretation so that Big Data accelerates this process. However, the main purpose of this integration is a meaningful storage capacity of Big Data. To put it in a simpler way, Big Data enables Business Intelligence to process large amounts of data in short periods of time. In addition, data does not have to be sorted within this integration. At the same time, it is important to note that Cloud Computing serves functions of such applications as emails, social networks, etc. To be more precise, Cloud Computing boosts the powering of applications by the efficient division of data. In other words, data cloud is not an accumulation of different files but a developed internal network, in which similar files are connected even though they belong to different areas of the cloud (Catlett & Grandinetti, 2023).
To conclude, it is necessary to say that the study has revealed the following points. First of all, Big Data and Cloud Computing have proclaimed a new era within the sphere of information technologies. It can be explained by a wide range of facts. Actually, these technologies suggest new methods of accessing, interpretation and storage of data. To be more exact, Big Data and Cloud Computing ignore the traditional hierarchy of a warehouse. As a consequence, it is worth saying that these technologies economize on the hardware and additional equipment for infrastructure of information technologies. What is more, the paper has distinguished that these technologies are still in the process of development so that it is necessary to discuss them in terms of potential improvements. Doubtless, the study has also proved that Big Data and Cloud Computing are still regarded as alternatives to the traditional approaches within the discipline of information technologies.
All in all, it should be admitted that current paper has reviewed the related literature. As a result, the terms of Big Data and Cloud Computing have been defined. Further, the current critique on these technologies has also been described. In the same way, the paper discussed their advantages and disadvantages. In addition, the study described current state and future prospects. Besides that, the paper has lingered upon the contemporary issues and actual impacts of the technologies on the entire field of information technologies. Needless to say, that these findings imply numerous details, but having considered the main findings of this study, it is necessary to suggest a direction for the further research. Actually, it is important to suggest certain strategies for the efficient development of the technologies and achieving the already outlined goals.
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