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Processing Streaming Data
Streaming data is data that is continuously generated and updated in real time, such as sensor readings, weblogs, social media posts, online transactions, and more. Streaming data can provide valuable insights into the current state and trends of various domains, such as e-commerce, finance, health care, gaming, and the Internet of Things (IoT). However, streaming data also poses many challenges for data ingestion and processing, such as scalability, reliability, fault tolerance, latency, and consistency.
Apache Spark is a popular open source framework for large-scale distributed data processing. Apache Spark Structured Streaming is an extension of Spark SQL that enables scalable and fault-tolerant processing of streaming ...
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