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Array DBMS: Problems, Technologies, and Perspectives

Ramon Antonio Rodriges Zalipynis
HSE University

An N-d array is a natural model for numerous important data types in geo-, bioinformatics, ecology, medicine, climate, and astronomy, to name a few. The rapid growth of array data volumes stimulates the development of innovative systems for managing big arrays: Array DBMSs. For example, ECMWF (European Centre for Medium-Range Weather Forecasts) has alone accumulated over 360 PB of weather-related data while Maxar (a space technology and intelligence company) collects about 80 TB of satellite imagery per day. The talk will survey modern problems tackled by Array DBMSs, their underlying technologies, and promising R&D opportunities that are actively discussed at VLDB and SIGMOD.

Слайды доклада

Видео доклада.

Литература:

  1. R.A. Rodriges Zalipynis. Array DBMS: Past, Present, and (Near) Future. PVLDB, 14(12): 3186–3189, 2021. http://vldb2021.gis.gg
  2. R.A. Rodriges Zalipynis. ChronosDB: Distributed, File Based, Geospatial Array DBMS. PVLDB, 11(10): 1247–1261, 2018. http://chronosdb.gis.land
  3. R.A. Rodriges Zalipynis. BitFun: Fast Answers to Queries with Tunable Functions in Geospatial Array DBMS. PVLDB, 13(12): 2909–2912, 2020. http://bitfun.gis.land
  4. R.A. Rodriges Zalipynis. Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case. SIGMOD 2021, P. 2399–2403. http://sigmod2021.gis.gg
  5. R.A. Rodriges Zalipynis. SimDB in Action: Road Traffic Simulations Completely Inside Array DBMS. PVLDB, 15(12): 3742–3745, 2022. https://wikience.github.io/simdb2022
  6. Peter Baumann, Dimitar Misev, Vlad Merticariu, et al . 2021. Array databases: concepts, standards, implementations. Journal of Big Data 8, 1 (2021), 1–61.
  7. Olha Horlova, Abdulrahman Kaitoua, and Stefano Ceri. Array-based Data Management for Genomics. ICDE 2020. 109–120.
  8. S. Papadopoulos, Kushal Datta, Samuel Madden, and Timothy Mattson. The TileDB Array Data Storage Manager. PVLDB 10, 4 (2016), 349–360.
  9. Alam, M.M., Torgo, L. and Bifet, A., 2021. A survey on spatio-temporal data analytics systems. ACM Computing Surveys (CSUR).
  10. R.A. Rodriges Zalipynis. ChronosDB in Action: Manage, Process, and Visualize Big Geospatial Arrays in the Cloud. SIGMOD 2019, P. 1985–1988.
  11. R.A. Rodriges Zalipynis, N. Terlych. WebArrayDB: A Geospatial Array DBMS in Your Web Browser. PVLDB, 15(12): 3622–3625, 2022. https://wikience.github.io/webdb2022
Supported by Synthesis Group