Interview
summary
Explains tradeoffs of adding Spark when Cassandra already exists, claims Spark gives analytics at the cost of ops complexity and sometimes simpler solutions win; describes building a production Spark–Cassandra connector that targets Spark’s new DataSource V2 API to expose partitioning, clustering details and improved streaming integration; reports the connector is actively being developed to broaden who can query Cassandra and to leverage the expanded API capabilities.
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