DSE Analytics
DataStax Enterprise (DSE) integrates real-time and batch operational analytics capabilities with an enhanced version of Apache Spark™. With DSE Analytics you can easily generate ad-hoc reports, target customers with personalization, and process real-time streams of data. The analytics toolset lets you write code once and then use it for both real-time and batch workloads.
- About DSE Analytics
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Use DSE Analytics to analyze huge databases. DSE Analytics includes integration with Apache Spark.
- Setting the replication factor for analytics keyspaces
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Guidelines and steps to set the replication factor for keyspaces on DSE Analytics nodes.
- DSE Analytics and Search integration
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DSE SearchAnalytics clusters can use DSE Search queries within DSE Analytics jobs.
- About DSE Analytics Solo
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DSE Analytics Solo datacenters provide analytics processing with Spark and distributed storage using DSEFS without storing transactional database data.
- Analyzing data using Spark
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Spark is the default mode when you start an analytics node in a packaged installation. Spark runs locally on each node.
- DSEFS (DataStax Enterprise file system)
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DSEFS (DataStax Enterprise file system) is the default distributed file system on DSE Analytics nodes.
- About the Cassandra File System (CFS) - deprecated
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Analytics jobs often require a distributed file system. DataStax Enterprise provides a replacement for the Hadoop Distributed File System (HDFS) called the Cassandra File System (CFS).
