Implementing a real-time data pipeline with Spark StreamingReal-time analytics has become a very popular topic in recent years. Whether it is in finance (high frequency trading), adtech (real-time bidding), social networks (real-time activity), Internet of things (sensors sending real-time data), server/traffic monitoring, providing real-time reporting can bring tremendous value (e.g., detect potential attacks on network immediately, quickly adjust ad cam
GitHub - chimpler/blog-spark-streaming-log-aggregation: Example of use of Spark Streaming with Kafka
