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Real-Time Analytics with Big Data and Streaming Computation

  • Ashvin B. Amale
  • , K. K. Bajaj
  • , Mohamed Dawood Shamout
  • , Liliana Carmen Campos Ramírez
  • , María Luisa Medina Vásquez
  • , Jose Ricardo Yataco Torrealva
  • Yeshwantrao Chavan College of Engineering
  • RNB Global University
  • University of Sharjah
  • Universidad Nacional de San Luis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Real-time analytics with significant facts and streaming computation is a more and more essential up-to-the-minuteolset for companies up-to-the-minute generate insights from massive, complicated facts units. This generation lets groups up-to-the-minute fast examine, interpret, and act on facts, supporting them to live ahead of the competition and provide better services to up-to-the-minute clients. With real-time analytics, data can be continuously accumulated and analyzed from various resources, with computerized alerting of pertinent facts. Circulate processing allows up-to-the-minute, up-to-the-moment detection and reply to up-to-the-minute incoming records while not having up-to-the-minute re-run queries every time. This generation permits organizations up-to-the-minute advantage and valuable insights from client behavior, ensuring compliance and protection, saving you fraudulent transactions, and optimizing IT overall performance. Real-time analytics and movement processing are critical components for any agency to date make up the maximum of their facts. Actual-time analytics with huge statistics and streaming computation is a powerful approach for reading massive statistics streams in real-time. This methodology combines the usage of significant data technologies along with NoSQL, dispensed computing, device date, streaming architectures, up-to-date hasty technique, and visualizes information in up-to-the-minuteup moment actual-time. Data can be accrued from a spread of sources, such as sensors, internet APIs, and user-generated content, and then streamed thru complicated algorithms up-to-the-minute up to the moment and visualized insights. Those insights can then be used for date decisions at a granular degree, with the consequences reaping benefits from an extensive range of areas from supply chain optimization to predictive upkeep. This technique helps corporations up to the moment boom their operational efficiencies while minimizing the fee and time related to the moment analytics on massive datasets.

Original languageEnglish
Title of host publication2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1668-1673
Number of pages6
ISBN (Electronic)9798350357769
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 - Greater Noida, India
Duration: 19 Dec 2023 → 23 Dec 2023

Publication series

Name2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

Conference

Conference2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023
Country/TerritoryIndia
CityGreater Noida
Period19/12/23 → 23/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Circulate
  • computerized
  • generate
  • interpret
  • resources

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