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Consideration for NoSQL Databases Technical Consolidation

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Proceedings of Seventh International Congress on Information and Communication Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 448))

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Abstract

In the era of business analytics, enterprises are processing and persisting data from a variety of sources. Data sources include structured, unstructured, and semi-structured. Some data sources are schema driven and many are schema-agnostic. NoSQL databases serve the need of persisting, processing, and managing unstructured as well as structured data in different ways. It is important to select the right set of NoSQL for analytics-driven organizations. In the paper, the intention is to determine guidelines and consideration that can help enterprises to select the right set of NoSQL and consolidate NoSQL technologies for optimization. The right combination of NoSQL databases can help homogeneous technology footprint along with cost benefits & effort benefits for an analytics-driven enterprise. Design principals to help select between graph databases, document databases, and in-memory databases and in memory.

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Author information

Authors and Affiliations

  1. Department of CS & IT, IIS (Deemed To Be University), Jaipur, India

    Abhijeet Singh Bais & Navneet Sharma

Authors
  1. Abhijeet Singh Bais
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  2. Navneet Sharma
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Corresponding author

Correspondence to Abhijeet Singh Bais .

Editor information

Editors and Affiliations

  1. Middlesex University, London, UK

    Xin-She Yang

  2. The University of Reading, Reading, UK

    Simon Sherratt

  3. JIS University, Kolkata, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Bais, A.S., Sharma, N. (2023). Consideration for NoSQL Databases Technical Consolidation. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-19-1610-6_79

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  • DOI: https://doi.org/10.1007/978-981-19-1610-6_79

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1609-0

  • Online ISBN: 978-981-19-1610-6

  • eBook Packages: EngineeringEngineering (R0)

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