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Merge pull request #286986 from Albertyang0/2024_09-Monthly-broken-links-fix-sreekzz
2024_09 - Fix monthly broken links - sreekzz
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articles/hdinsight/apache-kafka-spark-structured-streaming-cosmosdb.md

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[Azure Cosmos DB](https://azure.microsoft.com/services/cosmos-db/) is a globally distributed, multi-model database. This example uses an Azure Cosmos DB for NoSQL database model. For more information, see the [Welcome to Azure Cosmos DB](/azure/cosmos-db/introduction) document.
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Spark structured streaming is a stream processing engine built on Spark SQL. It allows you to express streaming computations the same as batch computation on static data. For more information on Structured Streaming, see the [Structured Streaming Programming Guide](https://spark.apache.org/docs/2.2.0/structured-streaming-programming-guide.html) at Apache.org.
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Spark structured streaming is a stream processing engine built on Spark SQL. It allows you to express streaming computations the same as batch computation on static data. For more information on Structured Streaming, see the [Structured Streaming Programming Guide](https://archive.apache.org/dist/spark/docs/2.2.0/structured-streaming-programming-guide.html) at Apache.org.
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> [!IMPORTANT]
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> This example uses Spark 2.4 on HDInsight 4.0.

articles/hdinsight/spark/apache-spark-streaming-high-availability.md

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* [Apache Spark Streaming Overview](apache-spark-streaming-overview.md)
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* [Create Apache Spark Streaming jobs with exactly once event processing](apache-spark-streaming-exactly-once.md)
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* [Long-running Apache Spark Streaming Jobs on YARN](https://mkuthan.github.io/blog/2016/09/30/spark-streaming-on-yarn/)
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* [Structured Streaming: Fault Tolerant Semantics](https://spark.apache.org/docs/2.1.0/structured-streaming-programming-guide.html#fault-tolerance-semantics)
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* [Structured Streaming: Fault Tolerant Semantics](https://archive.apache.org/dist/spark/docs/2.1.0/structured-streaming-programming-guide.html#fault-tolerance-semantics#fault-tolerance-semantics)
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* [Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing](https://www2.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-259.pdf)

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