Efficiently updating materialized views
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
Incremental maintenance of views with duplicates
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
ACM Computing Surveys (CSUR)
Alert: An Architecture for Transforming a Passive DBMS into an Active DBMS
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
TelegraphCQ: continuous dataflow processing
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Operator scheduling in data stream systems
The VLDB Journal — The International Journal on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
Algorithms and metrics for processing multiple heterogeneous continuous queries
ACM Transactions on Database Systems (TODS)
Exploiting the power of relational databases for efficient stream processing
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Self-organizing tuple reconstruction in column-stores
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Microsoft CEP server and online behavioral targeting
Proceedings of the VLDB Endowment
IBM infosphere streams for scalable, real-time, intelligent transportation services
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Experience in extending query engine for continuous analytics
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
Enhanced stream processing in a DBMS kernel
Proceedings of the 16th International Conference on Extending Database Technology
Lazy data structure maintenance for main-memory analytics over sliding windows
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
A thin monitoring layer for top-k aggregation queries over a database
Proceedings of the 7th International Workshop on Ranking in Databases
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In DataCell, we design streaming functionalities in a modern relational database kernel which targets big data analytics. This includes exploitation of both its storage/execution engine and its optimizer infrastructure. We investigate the opportunities and challenges that arise with such a direction and we show that it carries significant advantages for modern applications in need for online analytics such as web logs, network monitoring and scientific data management. The major challenge then becomes the efficient support for specialized stream features, e.g., multi-query processing and incremental window-based processing as well as exploiting standard DBMS functionalities in a streaming environment such as indexing. This demo presents DataCell, an extension of the MonetDB open-source column-store for online analytics. The demo gives users the opportunity to experience the features of DataCell such as processing both stream and persistent data and performing window based processing. The demo provides a visual interface to monitor the critical system components, e.g., how query plans transform from typical DBMS query plans to online query plans, how data flows through the query plans as the streams evolve, how DataCell maintains intermediate results in columnar form to avoid repeated evaluation of the same stream portions, etc. The demo also provides the ability to interactively set the test scenarios and various DataCell knobs.