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‎articles/synapse-analytics/data-explorer/data-explorer-overview.md

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Azure Synapse Data Explorer provides customers with an interactive query experience to unlock insights from log and telemetry data. To complement existing SQL and Apache Spark analytics runtime engines, the Data Explorer analytics runtime is optimized for efficient log analytics using powerful indexing technology to automatically index free-text and semi-structured data commonly found in telemetry data.
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:::image type="content" border="false" source="../media/overview-what-is/synapse-architecture.png" alt-text="Diagram showing the Azure Synapse architecture.":::
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To learn more, see the following video:
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> [!VIDEO https://docs.microsoft.com/shows/data-exposed/azure-synapse-data-explorer-for-log--telemetry-management/player?WT.mc_id=dataexposed-c9-niner]
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:::image type="content" border="false" source="../media/overview-what-is/synapse-architecture.png" alt-text="Diagram showing the Azure Synapse architecture.":::
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## What makes Azure Synapse Data Explorer unique?
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* **Easy ingestion** - Data Explorer offers built-in integrations for no-code/low-code, high-throughput data ingestion, and caching data from real-time sources. Data can be ingested from sources such as Event Hub, Kafka, Azure Data Lake, open source agents such as Fluentd/Fluent Bit, and a wide variety of cloud and on-premises data sources.

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