DSE Analytics
Use DSE Analytics to analyze huge databases. DSE Analytics includes built-in integration with Apache Spark™ and the DSEFS distributed file system for storing large amounts of data for analytic processing.
Use DSE Analytics to analyze extremely large data sets. DSE Analytics provides distributed storage, real-time, streaming, and batch analytics with built-in integration with Apache Spark, a distributed, parallel data processing engine.
DSE Analytics features
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No single point of failure
DSE Analytics supports a peer-to-peer, distributed cluster for running Spark jobs. Being peers, any node in the cluster can load data files, and any analytics node can assume the responsibilities of Spark Master.
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Spark Master management
DSE Analytics provides automatic Spark Master management.
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Analytics without ETL
Using DSE Analytics, you run Spark jobs directly against data in the database. You can perform real-time and analytics workloads at the same time without one workload affecting the performance of the other. Starting some cluster nodes as Analytics nodes and others as pure transactional real-time nodes automatically replicates data between nodes.
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DSE file system (DSEFS)
DSEFS (DSE file system) is a fault-tolerant, general-purpose, distributed file system within DataStax Enterprise (DSE). It is designed for use cases that need to leverage a distributed file system for data ingestion, data staging, and state management for Spark Streaming applications (such as checkpointing or write-ahead logging). DSEFS is similar to HDFS, but avoids the deployment complexity and single point of failure typical of HDFS. DSEFS is HDFS-compatible and is designed to work in place of HDFS in Apache Spark and other systems.
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DSE Analytics Solo
DSE Analytics Solo datacenters are devoted entirely to DSE Analytics processing, for deployments that require separation of analytics jobs from transactional data.
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Integrated security
DSE Analytics uses the advanced security features of DSE, simplifying configuration and deployment.
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AlwaysOn SQL
AlwaysOn SQL is a highly-available service that provides JDBC and ODBC interfaces to applications accessing DSE Analytics data.
