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- W2950489883 abstract "Today's data-driven applications need to process, analyze and act on real-time data as it arrives. The massive amount of data is continuously generated from multiple sources and arrives in a streaming fashion with high volume and high velocity, which makes it hard to process and analyze in real time. We introduce Striim, a distributed streaming platform that enables real-time integration and intelligence. Striim provides high-throughput, low-latency event processing. It can ingest streaming data from multiple sources, process data with SQL-like query language, analyze data with sophisticated machine learning models, write data into a variety of targets, and visualize data for real-time decision making. In this demonstration, we showcase Striim's ability to collect, integrate, process, analyze and visualize large streaming data in real time." @default.
- W2950489883 created "2019-06-27" @default.
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- W2950489883 date "2019-06-24" @default.
- W2950489883 modified "2023-09-26" @default.
- W2950489883 title "A Demonstration of Striim A Streaming Integration and Intelligence Platform" @default.
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- W2950489883 doi "https://doi.org/10.1145/3328905.3332519" @default.
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