GitHub - shivaa511/Big-Data-Technology-IS-6733-: Data set size and the computer intensive nature of many analytic processes are necessarily driving data analytics tasks to the cloud – both for large scale, economic storage, and for economic distributed computing power. The course will not focus on the in-source vs. out-source nature of the cloud infrastructure, nor the system and network maintenance thereof. Rather, the course will teach students how and when to use distributed computing and cloud-based platforms, how to set-up, configure, use, and maintain the data, specialized data analytics software, and big data processes in these environments regardless of their physical location. Students will also gain experience with using common cloud-based data analytics platforms, as well as big data indexing, search, and retrieval platforms.

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Data set size and the computer intensive nature of many analytic processes are necessarily driving data analytics tasks to the cloud – both for large scale, economic storage, and for economic distributed computing power. The course will not focus on the in-source vs. out-source nature of the cloud infrastructure, nor the system and network maint…

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