Abstract
The digital transformation trend is a significant key factor in driving innovations in today’s world. As a result the leaders of organizations are constantly under pressure to introduce a cost effective, performance enhanced big data systems to stay competitive. Organizations must run mission critical systems in a stable and secure ways at the same time they have to respond at pace with an ever changing customer expectations. Thus, an ability to scale the business operations to meet the demands from web apps, mobile apps, operational systems and big data analytical tools etc., are crucial. Integration patterns are at the heart of connecting the various systems in organizations for decades but now the industry is focusing more on API-centric approach as an alternate to that. API-centric software enables the component to solve a well detailed problem. So, the other programs can be built upon the existing functionalities of an API. This case study demonstrates the various available approach options to develop an API-centric Big Data system. It also explains the opportunities and challenges in various approaches. Among the various approaches the case study mainly focuses on utilizing the power of API building software Apigee and Azure cloud technologies to build the API-centric big data trading system for an asset management firm based in London, UK.
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Kumaresan, A., Liberona, D., Gnanamurthy, R.K. (2017). A Case Study on API-Centric Big Data Architecture. In: Uden, L., Lu, W., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2017. Communications in Computer and Information Science, vol 731. Springer, Cham. https://doi.org/10.1007/978-3-319-62698-7_38
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DOI: https://doi.org/10.1007/978-3-319-62698-7_38
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