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Solutions for Big Data Processing and Analytics in Context of Smart Homes

Author

Listed:
  • Adela BARA

    (The Bucharest University of Economic Studies, Romania)

  • Bogdan TUDORICA

    (The Bucharest University of Economic Studies, Romania)

  • Razvan Cristian MARALES

    (METRO SYSTEMS, Romania)

Abstract

The paper analysis Big Data storage and processing solutions applicable in the smart grid context in case of large volume of data coming from sensors (smart meters, IoT appliances). A flexible architecture for data management is proposed that consists in three layers: relational database (RB) tier, big data (DG) tier and data warehouse (DW) tier. A proof of concept implementation is also provided, using Elasticsearch and Kibana.

Suggested Citation

  • Adela BARA & Bogdan TUDORICA & Razvan Cristian MARALES, 2018. "Solutions for Big Data Processing and Analytics in Context of Smart Homes," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 9(1), pages 80-89.
    • Handle: RePEc:aes:dbjour:v:9:y:2018:i:1:p:80-89
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    Cited by:

    1. Mihaela Muntean & Doina Dănăiaţă & Luminiţa Hurbean & Cornelia Jude, 2021. "A Business Intelligence & Analytics Framework for Clean and Affordable Energy Data Analysis," Sustainability, MDPI, vol. 13(2), pages 1-25, January.

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