UDBMS: Road to Unification for Multi-model Data Management

Jiaheng Lu, Zhen Hua Liu, Pengfei Xu, Chao Zhang

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

One of the greatest challenges in big data management is the “Variety” of the data. The data may be presented in various types and formats: structured, semi-structured and unstructured. For instance, data can be modeled as relational, key-value, and graph models. Having a single data platform for managing both well-structured data and NoSQL data is beneficial to users; this approach reduces significantly integration, migration, development, maintenance, and operational issues. Therefore, a challenging research work is how to develop an efficient consolidated single data management platform covering both NoSQL and relational data to reduce integration issues, simplify operations, and eliminate migration issues. In this paper, we envision novel principles and technologies to handle multiple models of data in one unified database system, including model-agnostic storage, unified query processing and indexes, in-memory structures and multi-model transactions. We discuss our visions as well as present research challenges that we need to address.
Originalspråkengelska
Titel på värdpublikationAdvances in Conceptual Modeling : ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi’an, China, October 22-25, 2018, Proceedings
RedaktörerCarson Woo, Jiaheng Lu, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Antal sidor10
UtgivningsortCham
FörlagSpringer
Utgivningsdatum2019
Sidor285-294
ISBN (tryckt)978-3-030-01390-5
ISBN (elektroniskt)978-3-030-01391-2
DOI
StatusPublicerad - 2019
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangInternational Conference on Conceptual Modeling - Xi'an, Kina
Varaktighet: 22 okt. 201825 okt. 2018
Konferensnummer: 37

Publikationsserier

NamnLecture Notes in Computer Science
Volym11158
ISSN (tryckt)0302-9743
ISSN (elektroniskt)1611-3349

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap

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