For more information, see the Start with Apache HBase on HDInsight document. HiveQL can be used to query data stored in Apache HBase. For more information, see the Start with Apache Spark on HDInsight document. For more information, see the Start with Apache Hadoop in HDInsight document.Īpache Spark has built-in functionality for working with Hive. For more information, see the Start with Interactive Query in HDInsight document.Ī Hadoop cluster that is tuned for batch processing workloads. The following cluster types are most often used for Hive queries: Cluster typeĪ Hadoop cluster that provides Low Latency Analytical Processing (LLAP) functionality to improve response times for interactive queries. HDInsight provides several cluster types, which are tuned for specific workloads. After you define the structure, you can use HiveQL to query the data without knowledge of Java or MapReduce. Hive allows you to project structure on largely unstructured data. Hive queries are written in HiveQL, which is a query language similar to SQL. Hive enables data summarization, querying, and analysis of data. Apache Hive is a data warehouse system for Apache Hadoop.
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