1.Most of the global organizations have huge volumes of structured and unstructured data which are needed to be managed so that growth and progress of the organization is maintained. Most of those data are managed with the help of the big data solutions (Baek et al. 2015). Location and efficiency of the data is maintained if the big data solutions are professionally maintained in the work places. The efficiency of different units of the business can be improved significantly with the use of big data solutions. New business needs are also identified with the help of the big data solutions (Storey and Song 2017). Adaptations to new changes is one of the new findings of the big data solutions. The different complexities during the auditing time can be solved purpose fully with the help of the big data solutions. The business opportunities can be hugely capitalized with the help of the database management structure. The IT functionalities of the global organizations can be hugely benefitted from the use of the DBMS which helps in maintaining the structures of the organization (Jiang et al. 2014). The structure of the data which are getting transmitted from one unit of the system to another is also managed with the help of efficient business models based on DBMS. Databases are the most important business aspects of the global organizations which can be solved purposefully with the use of the relational database management system (Yan et al. 2016). The big data analytics can be embedded into the advanced devices which is the main reason behind its incorporations across most of the successful organizations.
2.Hosting is defined as defined as the type of method by which organizations can store their valuable information. There are different types hosting techniques. This unit of the paper will be focusing on the shared hosting service, during this service multiple users can share same data file. Dedicated hosting in the cloud services is completely different from the shared hosting services. The validity of the users managing their data can be either defined by the users or else by the cloud service departments (Rickscloud.com 2018). When the data is successfully stored in the cloud we can choose about the type of package we want to store the data. There is different type of cloud services present which helps in protecting the data which is stored by the users such as the Clarifying Lawful Overseas Use of Data act which was passed in the February, 2018. There are different regional laws all over the world which helps in protecting data stored in the cloud computing services (Findlaw 2018). The sector specific laws are also very much useful in managing the data in cloud services.
3.Analysis of given scenario
The data management system which was incorporated in an organization in Japan is very much efficient is storing and accessing data with an increased speed. Both structured and unstructured data can be professionally managed by this platform architecture. The complexities faced by the organizations in terms of downloading data from unreliable sources (Arasu et al. 2016). The data which are generated from different types of sources are very much important to be managed in an efficient way as there are lots of issues associated with the processing of those data in terms of their transfer speeds. The storage capacity of the proposed system is very much important for most of the organizations. Management of the data requires a variety of software’s such as the Cassandra, Spark worker and log stash and also ulta fast storage based on NVM e solid stage storage waste similar to SRAM. Redis and Cuda is very much useful for the machine learning system, which again requires GPU assisted CPU nodes (Tang et al. 2016). In the internal mechanism the data considered in the architecture considers process able SQL relational database using the presto. Visualization is useful in returning the data from the platform.
4.Analysis of given scenario
The value of information is getting increased day in the global organizations. Huge volumes of data are transferred from one unit of the organization to another and there are lots of security issues associated with the data (Baller, Dutta and Lanvin 2016). Data is considered as an asset in most of the global organizations which is available in different types of form such as the semi structured data, structured data and the unstructured data each of the data is dedicated for specific units of the business as any kinds of security issues mat result in huge financial loss for the business organizations (Laudon and Laudon 2015). The customers of the organization can also be managed with the help of the effective data management procedures. Effective data management plans are required to minimize the vulnerabilities associated with the data revolved in the organization. Calculation of the vulnerabilities is much easier with the use of the data management plans as there are lots of complexities associated with the data considering the future extensible infrastructures. Thus effective management of data is required to minimize the risks associated with the data considering the availability, integrity and confidentiality.
References
Arasu, A., Babcock, B., Babu, S., Cieslewicz, J., Datar, M., Ito, K., Motwani, R., Srivastava, U. and Widom, J., 2016. Stream: The stanford data stream management system. In Data Stream Management (pp. 317-336). Springer, Berlin, Heidelberg.
Baek, J., Vu, Q.H., Liu, J.K., Huang, X. and Xiang, Y., 2015. A secure cloud computing based framework for big data information management of smart grid. IEEE transactions on cloud computing, 3(2), pp.233-244.
Baller, S., Dutta, S. and Lanvin, B., 2016. Global information technology report 2016. Geneva: Ouranos.
Findlaw (2018) Cloud Computing and the Law: The Basics – FindLaw [online] [Accessed 24th December 2018].
Jiang, L., Da Xu, L., Cai, H., Jiang, Z., Bu, F. and Xu, B., 2014. An IoT-oriented data storage framework in cloud computing platform. IEEE Transactions on Industrial Informatics, 10(2), pp.1443-1451.
Laudon, K.C. and Laudon, J.P., 2015. Management information systems (Vol. 8). Prentice Hall.
Rickscloud.com (2018) Laws and Regulations Governing the Cloud Computing Environment | Rick’s Cloud [online] [Accessed 24th December 2018].
Storey, V.C. and Song, I.Y., 2017. Big data technologies and management: What conceptual modeling can do. Data & Knowledge Engineering, 108, pp.50-67.
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