Streaming Big Data Analytics- Current Status, Challenges and Connection of unbounded data Processing platforms
S K. Wasim Akram1, M. Varalakshmi2, J. Sudeepthi3
1S K. Wasim Akram , Assistant Professor, Deptmant Of CSE, VVIT College, Guntur (Tadepalli), India.
2M. Varalakshmi, Assistant Professor, Deptmant Of CSE, VVIT College, Guntur (Tadepalli), India.
3J. Sudeepthi, Assistant Professor, Deptmant Of CSE, KITS College, Guntur (Tadepalli), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 698-700 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I11440789S219/19©BEIESP DOI: 10.35940/ijitee.I1144.0789S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A strategy of examining immense dimensions of structured, un-structured, Semi-Structured data sets is referred as Big data Analytics. Streaming Big Data refers to data generated continuously from number of data sources like Internet-of-Things (IoT) devices, mobile applications, Embedded Sensors, web clicks and many more are needed to be store, processed and analyzed in a tiny interval of time in order to extract meaningful insights and take proper decisions in a timely fashion as the necessity arises. However analyzing streaming big data (continuous flow or unbounded data) is a very challenging problem. Continuous data streams have become essential prerequisite for numerous industrial and scientific applications, the current existing technology Hadoop-MapReduce is not appropriate for stream processing of big data. This paper discusses the challenges and benefits of streaming big data along with its architecture, and focuses on different open source streaming processing platforms that are existed to process the huge data at a high speed.
Keywords: Structured, Unstructured, Semi-Structured, Big Data, Streaming data, IoT, Hadoop, MapReduce
Scope of the Article: Big Data Analytics for Social Networking using IoT