Abstract
Stream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and numerous worldwide open-source communities. The goal of this tutorial is threefold. First, we aim to review and highlight noteworthy past research findings, which were largely ignored until very recently. Second, we intend to underline the differences between early ('00-'10) and modern ('11-'18) streaming systems, and how those systems have evolved through the years. Most importantly, we wish to turn the attention of the database community to recent trends: streaming systems are no longer used only for classic stream processing workloads, namely window aggregates and joins. Instead, modern streaming systems are being increasingly used to deploy general event-driven applications in a scalable fashion, challenging the design decisions, architecture and intended use of existing stream processing systems.
Original language | English |
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Title of host publication | SIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data |
Publisher | Association for Computing Machinery (ACM) |
Pages | 2651-2658 |
Number of pages | 8 |
ISBN (Electronic) | 9781450367356 |
DOIs | |
Publication status | Published - 14 Jun 2020 |
Event | 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020 - Portland, United States Duration: 14 Jun 2020 → 19 Jun 2020 |
Conference
Conference | 2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020 |
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Country/Territory | United States |
City | Portland |
Period | 14/06/20 → 19/06/20 |
Keywords
- cloud computing
- distributed computing
- MapReduce
- shared-nothing architectures
- stream processing