This article is third in our series on Big Data. You can access the second article here.
Opportunities for Big Data:
There can be various opportunities provided by the advancement in the big data. Let us take a look at some of them:
- Improving the service to the citizen or customer, improving transparency in the public or private sector and giving more control to individuals. Particularly in the private sector, it is expected that Big Data will lead to substantial growth in the number of companies, especially start-ups, the number of jobs and the profits generated by those companies.[1]
- The immediate opportunity is to find effective, efficient ways to correlate use cases, and leverage common big data stores to address multiple needs.
- The concepts behind big data are fabulous for collecting a wide range of data, and now the challenge is to break away from legacy siloed thinking to recognize and leverage data relationship to solve the remaining hard problems that are out there today, such as complex multi-domain proactive incident prevention and multi-faceted cyber-security threats.
- Automation of the generic use cases will change the perception of big data projects and how they are carried out in the next couple of years. Additionally, moving away from custom implementation to more generic implementations, which in turn can be tuned to the customers’ needs.
- Better education at the grassroots level. Computer engineering degrees need to teach the concepts and provide future computer engineers with experience in the big data processing. It takes a significant mind shift to move away from traditional data processing concepts, such as a relational database, and to move toward big data processing concepts. Cloud providers need to keep refining their tools to make them easier and easier to use. To be fair, they are doing this. Machine learning and advanced analysis as a follow-on phase to Big Data processing is already a revolution.
- Moore’s law in computing power continues to enable the handling of larger datasets, containers, and micro-services. Integration challenges are being solved. IT needs to focus on the right problem, set-up, configure, maintain, and manage disparate data sources to innovate.[2]
[1] Tom Smith, Big Data Opportunities, Feb 26, 2017, available at < https://dzone.com/articles/big-data-opportunties> (accessed on 20/7/2017)
[2] Bart van der Sloot and Sascha van Schendel, Ten Questions for Future Regulation of Big Data: A Comparative and Empirical Legal Study, available at < https://www.jipitec.eu/issues/jipitec-7-2-2016/4438> (last accessed on 20/7/2017)
