Challenges of Big Data Analytics

Challenges of Big Data Analytics

The Challenge of Big Data Analytics

Introduction 

Information technology is fast evolving into a field that is both fascinating and intimidating at the same time with experts predicting exponential growth in the next few years. Unstructured data that includes emails, voice, video, standard and non-standard images, plain text, and blogs is predicted to grow at high-speed compared to structured data. Regarded as sources of new information an organizational setup, unstructured data is said to reveal relationships that previous forms of data were not able to show. It is predicted that unstructured data will contain a diversity of information from different communities, organizational groupings, and social networks that facilitate a correct comprehension of the job market objective of meeting consumer tastes and choices.

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Body of the Paper

Graduates need to address uncertainties in the area of unstructured data especially as far as the capture, analysis, and storage of data is concerned. Attention must be paid to the remarkable expansion of unstructured data in recent times since it has overwhelmed traditional methods of managing data. Conventional ways of data management have been described as inadequate and ineffective because they cannot contain the nature of increasing the data streams which are also growing at high speed. In the world of technology, the creation of new data is real-time and needs management solutions in the immediate. A response in real time like parallel processing is necessary as the sector looks into the future (Huda, Maseleno, Atmotiyoso, Siregar, Ahmad, Jasmi, & Muhamad, 2018).

Future professionals in the field of information technology should sharpen their skills in data management to encourage a culture that promotes the proper administration of information. Arresting the unique challenges brought by the crushing of structured and unstructured data is often an uphill task. With this understanding, graduates must make sure that they acquire skills that can promote optimum value needed across the employment spectrum. Students in the field of information technology should acquire knowledge and skills in governance, data integration, and business intelligence. Skills and competencies in these areas will enable future professionals to gain a competitive advantage at the information technology desk of the future. Skills in the mentioned areas are also important given the shifting expectations of employers, technological dynamics and stiff competition.

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Solving problems in the area of predictive analytics requires persons in this field to be proficient in areas like ad-hoc analysis, text analytics, and real-time scoring. Skills in these areas will also help in the creation and execution of more actionable decisions. The metamorphosis of considerable data content from traditional forms has increased necessity for better management. Data is growing by every minute of human activity, and the new streams need to be met by an upgrade of the current management systems. Whether they are focused on the collection of information for storage, analysis or testing, new professionals in this field should make sure that they are skilled in the relevant areas. New technologists should see to it that they are proficient in areas and applications like SAP HANA, Microsoft SQL, and Pure Data system Server, (Huda, Maseleno, Atmotiyoso, Siregar, Ahmad, Jasmi, & Muhamad, 2018).

Information infrastructure has a vital element known as data integration which aids in the synthesis and arrangement of data. Data analytics must prioritize the creation of architecture that is integrated and that supports skills to essential success. New information technology professionals should take up courses that cover various techniques in information integration and learn how to collaborate information and new data streams without problems. These skills can only be attained when students in the field are conversant with tools like SAS Data management, IBM InfoSphere, SAP Data Service (Huda, Maseleno, Atmotiyoso, Siregar, Ahmad, Jasmi, & Muhamad, 2018). Information management is critical to several types of businesses and sectors. For instance, management information systems called integrated health information systems are instrumental in the provision of healthcare since they assist in the accessing, sharing, and analysis of patient information. The future of technological space depends on the ability of emerging professionals to match exceptional skills with service delivery.

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Conclusion

In conclusion, however, challenges of data analytics call for thorough training of professionals in the field. Information technologists need to equip themselves with skills that will create futuristic solutions and enable effective data management and accessibility. New scholars, on the other hand, should see to it that they have a polished and extensive skill set that covers data preparation, information processing, working with analytical tools, and reading patterns.

References

Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K., & Muhamad, N. (2018). Big data emerging technology: insights into innovative environment for online learning resources. International Journal of Emerging Technologies in Learning (iJET)13(1), 23-36.

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