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Ecancrusher docdataflow1/22/2024 ![]() ![]() ![]() Spark handles late-arriving data due to outages and can catch up backlogged data over time with watermarking-a Spark feature that maintains, stores, and then aggregates late data-without needing to manually restart the job. ![]() OCI Data Flow supports Oracle Cloud Infrastructure (OCI) Object Storage and any Kafka-compatible streaming source, including Oracle Cloud Infrastructure (OCI) Streaming as data sources and sinks. OCI Data Flow handles the heavy lifting of stream processing with Spark, along with the ability to perform machine learning on streaming data using MLLib. With Spark Streaming support, you gain capabilities for continuous retrieval and continuous availability of processed data. Spark Streaming with zero management, automatic fault-tolerance, and automatic patching. ![]()
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