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articles/hdinsight/hdinsight-overview-before-you-start.md

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During cluster creation, default configuration will use internal database. Once the cluster is created, customer can’t change the database type. Hence, it's recommended to create and use the external database. You can create custom databases for Ambari, Hive, and Ranger.
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For more information, see how to [Set up HDInsight clusters with a custom Ambari DB](./hdinsight-custom-ambari-db.md)
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For more information, see how to [Set up HDInsight clusters with a custom Ambari DB](/azure/hdinsight/hdinsight-custom-ambari-db)
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## Keep your clusters up to date
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HDInsight release happens every 30 to 60 days. It's always good to move to the latest release as early possible. The recommended maximum duration for cluster upgrades is less than six months.
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For more information, see how to [Migrate HDInsight cluster to a newer version](./hdinsight-upgrade-cluster.md)
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For more information, see how to [Migrate HDInsight cluster to a newer version](/azure/hdinsight/hdinsight-upgrade-cluster)
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## Next steps
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* [Create Apache Hadoop cluster in HDInsight](./hadoop/apache-hadoop-linux-create-cluster-get-started-portal.md)
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* [Create Apache Spark cluster - Portal](./spark/apache-spark-jupyter-spark-sql-use-portal.md)
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* [Enterprise security in Azure HDInsight](./domain-joined/hdinsight-security-overview.md)
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* [Enterprise security in Azure HDInsight](./domain-joined/hdinsight-security-overview.md)

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