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Merge pull request #302774 from whhender/patch-868670
Removing out of date applications
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articles/hdinsight/hdinsight-apps-install-applications.md

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@@ -18,7 +18,7 @@ An HDInsight application is an application that users can install on an HDInsigh
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The following list shows the published applications:
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|Application |Cluster type(s) | Description |
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|Application |Cluster types | Description |
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|---|---|---|
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|[AtScale Intelligence Platform](https://aws.amazon.com/marketplace/pp/AtScale-AtScale-Intelligence-Platform/B07BWWHH18) |Hadoop |AtScale turns your HDInsight cluster into a scale-out OLAP server, allowing you to query billions of rows of data interactively using the BI tools you already know, own, and love – from Microsoft Excel, Power BI, Tableau Software to QlikView. |
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|[Datameer](https://azuremarketplace.microsoft.com/marketplace/apps/datameer.datameer) |Hadoop |Datameer's self-service scalable platform for preparing, exploring, and governing your data for analytics accelerates turning complex multisource data into valuable business-ready information, delivering faster, smarter insights at an enterprise-scale. |
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|H2O SparklingWater for HDInsight |Spark |H2O Sparkling Water supports the following distributed algorithms: GLM, Naïve Bayes, Distributed Random Forest, Gradient Boosting Machine, Deep Neural Networks, Deep learning, K-means, PCA, Generalized Low Rank Models, Anomaly Detection, Autoencoders. |
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|[Striim for Real-Time Data Integration to HDInsight](https://azuremarketplace.microsoft.com/marketplace/apps/striim.striimbyol) |Hadoop, HBase, Spark, Kafka |Striim (pronounced "stream") is an end-to-end streaming data integration + intelligence platform, enabling continuous ingestion, processing, and analytics of disparate data streams. |
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|[Jumbune Enterprise-Accelerating BigData Analytics](https://azuremarketplace.microsoft.com/marketplace/apps/impetus-infotech-india-pvt-ltd.impetus_jumbune) |Hadoop, Spark |At a high level, Jumbune assists enterprises by, 1. Accelerating Tez, MapReduce & Spark engine based Hive, Java, Scala workload performance. 2. Proactive Hadoop Cluster Monitoring, 3. Establishing Data Quality management on distributed file system. |
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|[Kyligence Enterprise](https://azuremarketplace.microsoft.com/marketplace/apps/kyligence.kyligence-cloud-saas) | Hadoop, HBase, Spark | Powered by Apache `Kylin`, Kyligence Enterprise Enables BI on Big Data. As an enterprise OLAP engine on Hadoop, Kyligence Enterprise empowers business analyst to architect BI on Hadoop with industry-standard data warehouse and BI methodology. |
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|[StreamSets Data Collector for HDInsight Cloud](https://docs.streamsets.com/datacollector/latest/help/datacollector/UserGuide/Installation/CloudInstall.html#task_vnj_rl2_wdb) |Hadoop, HBase, Spark, Kafka |StreamSets Data Collector is a lightweight, powerful engine that streams data in real time. Use Data Collector to route and process data in your data streams. It comes with a 30 day trial license. |
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|[Trifacta Wrangler Enterprise](https://azuremarketplace.microsoft.com/marketplace/apps/trifactainc1587522950142.trifactaazure) |Hadoop, Spark, HBase |Trifacta Wrangler Enterprise for HDInsight supports enterprise-wide data wrangling for any scale of data. The cost of running Trifacta on Azure is a combination of Trifacta subscription costs plus the Azure infrastructure costs for the virtual machines. |
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|[Unifi Data Platform](https://www.crunchbase.com/organization/unifi-software) |Hadoop, HBase, Spark |The `Unifi Data Platform` is a seamlessly integrated suite of self-service data tools designed to empower the business user to tackle data challenges that drive incremental revenue, reduce costs or operational complexity. |
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|[Unifi Data Platform](https://www.crunchbase.com/organization/unifi-software) |Hadoop, HBase, Spark |The `Unifi Data Platform` is a seamlessly integrated suite of self-service data tools designed to empower the business user to tackle data challenges that drive incremental revenue, reduce costs, or operational complexity. |
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The instructions provided in this article use Azure portal. You can also export the Azure Resource Manager template from the portal or obtain a copy of the Resource Manager template from vendors, and use Azure PowerShell and Azure Classic CLI to deploy the template. See [Create Apache Hadoop clusters on HDInsight using Resource Manager templates](hdinsight-hadoop-create-linux-clusters-arm-templates.md).
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## Install applications during cluster creation
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You have the option to install HDInsight applications when you create a cluster. During the process, HDInsight applications are installed after the cluster is created and is in the running state. To install applications during cluster creation using the Azure portal, from the **Configuration + pricing** tab, select **+ Add application**.
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You can install HDInsight applications when you create a cluster. During the process, HDInsight applications are installed after the cluster is created and is in the running state. To install applications during cluster creation using the Azure portal, from the **Configuration + pricing** tab, select **+ Add application**.
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:::image type="content" source="./media/hdinsight-apps-install-applications/azure-portal-cluster-configuration-applications.png" alt-text="Azure portal cluster configuration applications.":::
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* [Install custom HDInsight applications](hdinsight-apps-install-custom-applications.md): learn how to deploy an unpublished HDInsight application to HDInsight.
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* [Publish HDInsight applications](hdinsight-apps-publish-applications.md): Learn how to publish your custom HDInsight applications to Azure Marketplace.
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* [MSDN: Install an HDInsight application](/rest/api/hdinsight/hdinsight-application): Learn how to define HDInsight applications.
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* [Customize Linux-based HDInsight clusters using Script Action](hdinsight-hadoop-customize-cluster-linux.md): learn how to use Script Action to install additional applications.
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* [Customize Linux-based HDInsight clusters using Script Action](hdinsight-hadoop-customize-cluster-linux.md): learn how to use Script Action to install other applications.
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* [Create Linux-based Apache Hadoop clusters in HDInsight using Resource Manager templates](hdinsight-hadoop-create-linux-clusters-arm-templates.md): learn how to call Resource Manager templates to create HDInsight clusters.
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* [Use empty edge nodes in HDInsight](hdinsight-apps-use-edge-node.md): learn how to use an empty edge node for accessing HDInsight cluster, testing HDInsight applications, and hosting HDInsight applications.

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