DataStax Brings Spark To Cassandra - InformationWeek
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DataStax Brings Spark To Cassandra
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D. Henschen
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D. Henschen,
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5/12/2014 | 2:28:44 PM
On CQL and cluster deployment
Forgot to note that Van Ryswyk said the integration will give you the option of running separate Cassandra and Spark clusters or running both on the same cluster -- though you'd have to be careful that the latter approach would not impact transactional performance (either by beefing up the hardware or being careful about analysis loads). Van Ryswyk also insisted that Spark, which is looking to support SQL analysis, will not overlap with the Cassandra CQL query language since the latter is mostly for setting up predefined analyses and does not support ad-hoc querying.
Charlie Babcock
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Charlie Babcock,
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5/12/2014 | 8:18:21 PM
A plus-plus combination of open source code projects
Spark is not just an in-memory system but an enhancement to a distributed data management system like Cassandra. It's already changed Hadoop from a batch system into an online-processing system on a well-managed, distributed cluster. This is an interesting combination of open source code projects.

 
D. Henschen
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D. Henschen,
User Rank: Author
5/13/2014 | 10:42:07 AM
Re: A plus-plus combination of open source code projects
ScaleOut would disagree with your "online" characterization of Spark. They almost make it sound positively batchy in terms of processing data sets, not individual data points like an ACID-compliance and CRUD-capable database or other OLTP system.


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