Abstract
The nature of protein data is complicated and constantly updated by researchers around the globe. To query from multiple data sources, a query framework written and built using Python with the concept of Language Integrated Query is proposed as the solution to overcome the limitations discussed in previous chapters. A cloud computing platform is used for this research to host the query framework to enable the framework to use the vast resources available to perform a query with minimal latency while avoiding computing resource deficiency. In this chapter, Language Integrated Query, cloud computing and algebraic operators are explained in detail.
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© 2019 Springer Nature Switzerland AG
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Cho, C.Y., Tan, R.K.J., Leong, J.A., Sidhu, A.S. (2019). Large Scale Data Analytics. In: Large Scale Data Analytics. Studies in Computational Intelligence(), vol 806. Springer, Cham. https://doi.org/10.1007/978-3-030-03892-2_3
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DOI: https://doi.org/10.1007/978-3-030-03892-2_3
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-03892-2
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