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Merge pull request #214894 from pritamso/Broken-link-fix-icles/synapse-analytics/migration-guides/oracle/7-beyond-data-warehouse-migration.md
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articles/synapse-analytics/migration-guides/oracle/7-beyond-data-warehouse-migration.md

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@@ -44,7 +44,7 @@ A key reason to migrate your existing data warehouse to Azure Synapse Analytics
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- [Azure HDInsight](../../../hdinsight/index.yml) to process large amounts of data, and to join big data with Azure Synapse data by creating a logical data warehouse using PolyBase.
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- [Azure Event Hubs](../../../event-hubs/event-hubs-about.md), [Azure Stream Analytics](../../../stream-analytics/stream-analytics-introduction.md), and [Apache Kafka](/azure/databricks/spark/latest/structured-streaming/kafka) to integrate live streaming data from Azure Synapse.
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- [Azure Event Hubs](../../../event-hubs/event-hubs-about.md), [Azure Stream Analytics](../../../stream-analytics/stream-analytics-introduction.md), and [Apache Kafka](/azure/hdinsight/kafka/apache-kafka-introduction) to integrate live streaming data from Azure Synapse.
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The growth of big data has led to an acute demand for [machine learning](../../machine-learning/what-is-machine-learning.md) to enable custom-built, trained machine learning models for use in Azure Synapse. Machine learning models enable in-database analytics to run at scale in batch, on an event-driven basis and on-demand. The ability to take advantage of in-database analytics in Azure Synapse from multiple BI tools and applications also guarantees consistent predictions and recommendations.
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## Next steps
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To learn about migrating to a dedicated SQL pool, see [Migrate a data warehouse to a dedicated SQL pool in Azure Synapse Analytics](../migrate-to-synapse-analytics-guide.md).
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To learn about migrating to a dedicated SQL pool, see [Migrate a data warehouse to a dedicated SQL pool in Azure Synapse Analytics](../migrate-to-synapse-analytics-guide.md).

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