Course introduction - CS 591 K1: Data Stream Processing and Analytics Spring 2020City Brain adjusts traffic lights in real-time to reduce congestion and clear paths for emergency response vehicles • Read more: https://edition.cnn.com/2019/01/15/tech/alibaba-city- brain-hangzhou/index0 码力 | 34 页 | 2.53 MB | 1 年前3- Filtering and sampling streams - CS 591 K1: Data Stream Processing and Analytics Spring 2020massive data streams • Maintaining synopses is often the only means of providing interactive response times when exploring massive datasets or high speed data streams. • Queries are executed against0 码力 | 74 页 | 1.06 MB | 1 年前3
- Scalable Stream Processing - Spark Streaming and Flinkout DStream’s data to external systems, e.g., a database or a file system. ▶ foreachRDD: the most generic output operator • Applies a function to each RDD generated from the stream. • The function is executed0 码力 | 113 页 | 1.22 MB | 1 年前3
- PyFlink 1.15 Documentation"/usr/local/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",␣ ˓→line 289, in _execute response = task() File "/usr/local/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py"0 码力 | 36 页 | 266.77 KB | 1 年前3
- PyFlink 1.16 Documentation"/usr/local/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",␣ ˓→line 289, in _execute response = task() File "/usr/local/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py"0 码力 | 36 页 | 266.80 KB | 1 年前3
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