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articles/cosmos-db/nosql/bulk-executor-java.md

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- On Ubuntu, you can run `apt-get install maven` to install Maven.
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* Create an Azure Cosmos DB for NoSQL account by using the steps described in the [create database account](quickstart-java.md#create-a-database-account) section of the Java quickstart article.
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* Create an Azure Cosmos DB for NoSQL account by using the steps described in the [create database account](quickstart-java.md) section of the Java quickstart article.
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## Clone the sample application
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articles/cosmos-db/nosql/throughput-control-spark.md

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The [Spark Connector](quickstart-spark.md) allows you to communicate with Azure Cosmos DB using [Apache Spark](https://spark.apache.org/). This article describes how the throughput control feature works. Check out our [Spark samples in GitHub](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/cosmos/azure-cosmos-spark_3_2-12/Samples) to get started using throughput control.
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> [!TIP]
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> This article documents the use of global throughput control groups in the Azure Cosmos DB Spark Connector, but the functionality is also available in the [Java SDK](./sdk-java-v4.md). In the SDK, you can also use both global and local Throughput Control groups to limit the RU consumption in the context of a single client connection instance. For example, you can apply this to different operations within a single microservice, or maybe to a single data loading program. Take a look at documentation on how to [use throughput control](quickstart-java.md#use-throughput-control) in the Java SDK.
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> This article documents the use of global throughput control groups in the Azure Cosmos DB Spark Connector, but the functionality is also available in the [Java SDK](./sdk-java-v4.md). In the SDK, you can also use both global and local Throughput Control groups to limit the RU consumption in the context of a single client connection instance. For example, you can apply this to different operations within a single microservice, or maybe to a single data loading program. Take a look at documentation on how to [use throughput control](quickstart-java.md) in the Java SDK.
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> [!WARNING]
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> Please note that throughput control is not yet supported for gateway mode.

articles/cosmos-db/visualize-qlik-sense.md

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* Create an Azure Cosmos DB API for NoSQL account by using the steps described in [create an account](create-sql-api-dotnet.md#create-account) section of the quickstart article.
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* [Create a database and a collection](nosql/quickstart-java.md#add-a-container) – You can use set the collection throughput value to 1000 RU/s.
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* [Create a database and a collection](nosql/quickstart-java.md) – You can use set the collection throughput value to 1000 RU/s.
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* Load the sample video game sales data to your Azure Cosmos DB account.
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articles/machine-learning/data-science-virtual-machine/release-notes.md

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See the [list of known issues](reference-known-issues.md) to learn about known bugs and workarounds.
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## December 20, 2023
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[Data Science VM – Ubuntu 20.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-2004?tab=Overview)
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Version `23.12.18`
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Main changes:
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- `numpy` version `1.22.3`
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- `pytz` version `2022.6`
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- `torch` version `1.12.0`
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- `certifi` version `2023.7.2`
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- `azure-mgmt-network` to version `25.1.0`
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- `scikit-learn` version `1.0.2`
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- `scipy` version `1.9.2`
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- `accuracy`
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- `pickle5`
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- `pillow` version `10.1.0`
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- `experimental`
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- `ipykernel` version `6.14.0`
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- `en_core_web_sm`
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## December 18, 2023
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[Data Science Virtual Machine - Windows 2019](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019?tab=Overview)
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Version `23.12.11`
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Main changes:
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- SDK `1.54.0`
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- numba
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- Scipy
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- `azure-core` to version `1.29.4`
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- `azure-identity` to version `1.14.0`
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- `azure-storage-queue` to version `12.7.2`
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## December 5, 2023
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DSVM offering for [Data Science VM – Windows 2022](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2022?tab=Overview) is now generally available in the marketplace.

articles/postgresql/flexible-server/concepts-extensions.md

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description: Learn about the available PostgreSQL extensions in Azure Database for PostgreSQL - Flexible Server
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author: varun-dhawan
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ms.author: varundhawan
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ms.date: 12/18/2023
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ms.date: 1/8/2024
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ms.service: postgresql
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ms.subservice: flexible-server
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ms.topic: conceptual
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|[address_standardizer](http://postgis.net/docs/manual-2.5/Address_Standardizer.html) |Used to parse an address into constituent elements. |N/A |3.1.1 |3.1.1 |3.1.1 |3.0.0 |2.5.1 |
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|[address_standardizer_data_us](http://postgis.net/docs/manual-2.5/Address_Standardizer.html)|Address Standardizer US dataset example |N/A |3.1.1 |3.1.1 |3.1.1 |3.0.0 |2.5.1 |
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|[amcheck](https://www.postgresql.org/docs/13/amcheck.html) |Functions for verifying relation integrity |1.3 |1.2 |1.2 |1.2 |1.2 |1.1 |
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|[azure_ai](./generative-ai-azure-overview.md) |Azure OpenAI and Cognitive Services integration for PostgreSQL |0.1.0 |0.1.0 |0.1.0 |0.1.0 |N/A |N/A |
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|[azure_storage](../../postgresql/flexible-server/concepts-storage-extension.md) |extension to export and import data from Azure Storage |1.3 |1.3 |1.3 |1.3 |1.3 |N/A |
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|[bloom](https://www.postgresql.org/docs/13/bloom.html) |Bloom access method - signature file based index |1 |1 |1 |1 |1 |1 |
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|[btree_gin](https://www.postgresql.org/docs/13/btree-gin.html) |Support for indexing common datatypes in GIN |1.3 |1.3 |1.3 |1.3 |1.3 |1.3 |
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|[btree_gist](https://www.postgresql.org/docs/13/btree-gist.html) |Support for indexing common datatypes in GiST |1.7 |1.5 |1.5 |1.5 |1.5 |1.5 |

articles/sentinel/ama-migrate.md

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### Windows logs
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|Log type / Support |Azure Monitor agent support |Log Analytics agent support |
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|---------|---------|---------|
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|**Security Events** | [Windows Security Events data connector](data-connectors/windows-security-events-via-ama.md) | [Windows Security Events data connector (Legacy)](data-connectors/security-events-via-legacy-agent.md) |
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|**Filtering by security event ID** | [Windows Security Events data connector (AMA)](data-connectors/windows-security-events-via-ama.md) | - |
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|**Filtering by event ID** | Collection only | - |
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| Log type / Support | Azure Monitor agent support | Log Analytics agent support |
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| --------- | --------- | --------- |
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| **Security Events** | [Windows Security Events data connector](data-connectors/windows-security-events-via-ama.md) | [Windows Security Events data connector (Legacy)](data-connectors/security-events-via-legacy-agent.md) |
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| **Filtering by security event ID** | [Windows Security Events data connector (AMA)](data-connectors/windows-security-events-via-ama.md) | - |
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| **Filtering by event ID** | Collection only | - |
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|**Windows Event Forwarding** | [Windows Forwarded Events](data-connectors/windows-forwarded-events.md) | - |
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|**Windows Firewall Logs** | - | [Windows Firewall data connector](data-connectors/windows-firewall.md) |
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|**Performance counters** | Collection only | Collection only |
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|**Windows Event Logs** | Collection only | Collection only |
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| **Windows (System) Event Logs** | Collection only | Collection only |
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|**Custom logs (text)** | Collection only | Collection only |
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|**IIS logs** | Collection only | Collection only |
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|**Multi-homing** | Collection only | Collection only |
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|**Application and service logs** | - | Collection only |
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|**Sysmon** | Collection only | Collection only |
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| **Application and service logs** | Collection only | Collection only |
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| **Sysmon** | Collection only | Collection only |
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|**DNS logs** | [Windows DNS servers via AMA connector](connect-dns-ama.md) (Public preview) | [Windows DNS Server connector](data-connectors/dns.md) (Public preview) |
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> [!IMPORTANT]

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