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With DataStax Enterprise (DSE) 6 we have introduced AlwaysOn SQL, a new, highly-available, secure SQL service for analytical queries. This service will allow BI, ETL, and other tools to connect via the standard ODBC and JDBC protocols to analyze data in DSE, including tabular data from the database...Read More
An always-on, distributed cloud database needs non-stop analytics to manage workflows, derive insights, and enable analysis for business applications and business analysts. With that in mind, for this release we focused our attention for DSE Analytics on nonstop availability and ease-of...Read More
DSE Analytics Solo datacenters do not store any database or search data, but are strictly used for analytics processing. This helps to dedicate processing power to pure analysis of your real-time applications.
In this example scenario, there is an existing datacenter, DC1 which has existing database data. Create a new DSE Analytics Solo datacenter, DC2, which does not store any data but will perform analytics jobs using the database data from DC1.
Add nodes to a new datacenter named DC2, then enable Analytics on those nodes.
Then, configure the dse_leases and dse_analytics keyspaces to replicate to both DC1 and DC2.
When submitting Spark applications specify the --master URL with the name or IP address of a node in the DC2 datacenter, and set the spark.cassandra.connection.local_dc configuration option to DC1.
Highly available end-user analytics through Spark SQL via ODBC/JDBC.
Predictable analytics with the isolation of operational and analytics workloads - same data, same cluster, but with no competition for data or compute resources.
3X faster to retrieve data from open-source Apache Cassandra™ using DSE Spark connector than using open-source Apache Spark™.