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.
|Title of host publication||Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, Nicosia, Cyprus, March 23, 2021|
|Editors||Constantinos Costa, Evaggelika Pitoura|
|Number of pages||6|
|Publication status||Published - 2021|
|Event||2021 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2021 - Nicosia, Cyprus|
Duration: 23 Mar 2021 → …
|Name||CEUR Workshop Proceedings|
|Conference||2021 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2021|
|Period||23/03/21 → …|
Bibliographical noteFunding Information:
This work was partially funded by the EU H2020 project Smart-DataLake (825041).
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