A Parallel Platform for Big Data Analytics : A Design Science Approach

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Provided by: International Journal of Computer Science & Engineering Technology (IJCSET)
Topic: Big Data
Format: PDF
Following a design science approach, at the core of this paper the authors propose a technically innovative parallel platform for big data analytics. The design of the proposed platform allows for analyzing and filtering billions of records, querying data structures with 1000s of columns, getting answers in milliseconds without cubes, continuously importing data with low latency, and executing 1000s of concurrent queries. Deploying the platform has empowered organizations across many industries to capture new business opportunities from better analytic quality of very large, close to real-time data.
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