Research Paper | Computer Science & Engineering | India | Volume 6 Issue 11, November 2017
Exposure of Big Data Analytics in a Workflow Framework
Namavaram Vijay | S Ajay Babu
Abstract: We have designed an open and modular course for data science and big data analytics using a workflow paradigm that allows students to easily experience big data through a sophisticated yet easy to use instrument that is an intelligent workflow system. A key aspect of this work is the use of semantic workflows to capture and reuse end-to-end analytic methods that experts would use to analyze big data, and the use of an intelligent workflow system to elaborate the workflow and manage its execution and resulting datasets. Through the exposure of big data analytics in a workflow framework, students will be able to get first-hand experiences with a breadth of big data topics, including multi-step data analytic and statistical methods, software reuse and composition, parallel distributed programming, high-end computing. In addition, students learn about a range of topics in AI, including semantic representations and ontologies, machine learning, natural language processing, and image analysis.
Keywords: Data Science, Wings, Workflows, MapReduce
Edition: Volume 6 Issue 11, November 2017,
Pages: 1578 - 1585
How to Cite this Article?
Namavaram Vijay, S Ajay Babu, "Exposure of Big Data Analytics in a Workflow Framework", International Journal of Science and Research (IJSR), Volume 6 Issue 11, November 2017, pp. 1578-1585, https://www.ijsr.net/get_abstract.php?paper_id=ART20178389
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