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Qubole Data Service (QDS) delivers a more accessible way to perform Big Data analytics for data stored and growing in your Azure Cloud. QDS provides multiple data engines optimized to run with minimal operational administration, leveraging extensive automation and a common metastore. QDS offers:
- Reduced management overhead through Cluster Lifecycle Management. QDS automatically provisions and manages infrastructure based on workloads, starting and stopping clusters only when they are needed.
- Extend Big Data analysis to existing applications. Developers may connect their applications to automatically drive queries using a number of supported SDKs, all based on a REST API interface.
- Integration with BI/Visualization tools. Data analysts may interact with their BI/Visualization tool of choice using either the QDS ODBC or JDBC connector.
- Eliminates the overhead associated with testing and integrating open source tools. QDS delivers completely integrated, fully automated and cloud optimized data engines (including Spark, Hive, and Hadoop MapReduce) tested to perform at petabyte-scale with enterprise-level support, governance and management tools. The service is continually updated as new open source tools and engines become available.
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