Today's data deluge calls for novel, scalable data handling and processing solutions. Spark has emerged as a popular distributed in-memory computing engine for processing and analysing a large amount of data in parallel. However, the way parallel processing pipelines are designed is fundamentally different from traditional programming techniques, and hence most programmers are either unable to start using Spark, or are not utilising Spark to the maximum of its potential. This study describes an easier entry point into Spark. We design and implement a GUI that allows any programmer with knowledge of a standard programming language (e.g., Python or Java) to write Spark applications effortlessly and interactively, and to submit and execute them to large clusters.
|Titel||Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, Nicosia, Cyprus, March 23, 2021|
|Redacteuren||Constantinos Costa, Evaggelika Pitoura|
|Status||Gepubliceerd - 2021|
|Evenement||2021 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2021 - Nicosia, Cyprus|
Duur: 23 mrt 2021 → …
|Naam||CEUR Workshop Proceedings|
|ISSN van geprinte versie||1613-0073|
|Congres||2021 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2021|
|Periode||23/03/21 → …|
Bibliografische notaPublisher Copyright:
© 2021 Copyright for this paper by its author(s).
Copyright 2021 Elsevier B.V., All rights reserved.