Large Scale Data Analytics

Book Description

This book presents a language integrated query for . The continuous, rapid growth of data to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query from large scale data sources is becoming more urgent. Currently available frameworks and methodologies are limited in terms of efficiency and querying compatibility between data sources due to the differences in storage structures. For this research, the authors designed and programmed a framework based on the fundamentals of language integrated query to query existing data sources without the process of data restructuring. A web portal for the framework was also built to enable users to query protein data from the Protein Data Bank (PDB) and implement it on Azure, a environment known for its reliability, vast resources and cost-effectiveness.

Book Details

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UsersCloud Click to downloadTrue PDF, EPUB22.701/09/2019
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