課程大綱： Spark Streaming with Python and Kafka培訓
Introduction
Overview of Spark Streaming Features and Architecture
Supported data sources
Core APIs
Preparing the Environment
Dependencies
Spark and streaming context
Connecting to Kafka
Processing Messages
Parsing inbound messages as JSON
ETL processes
Starting the streaming context
Performing a Windowed Stream Processing
Slide interval
Checkpoint delivery configuration
Launching the environment
Prototyping the Processing Code
Connecting to a Kafka topic
Retrieving JSON from data source using Paw
Variations and additional processing
Streaming the Code
Job control variables
Defining values to match
Functions and conditions
Acquiring Stream Output
Counters
Kafka output (matched and non-matched)
Troubleshooting
Summary and Conclusion
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