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(optional, required only if yarn and hdfs are needed) apache spark . for hadoop java se development kit and one of the following sets: postgresql or mysql or apache hbase . elasticsearch . note that support for scala and spark were removed as of predictionio . . note that support for elasticsearch is

deprecated as of predictionio . . if you are running on a single machine, we recommend a minimum of gb memory. if you are using linux, apache spark local mode, which is the default operation mode without further configuration, may not work. in that case, configure your apache spark to run in standalone...

http://predictionio.apache.org/install/

(optional, required only if yarn and hdfs are needed) apache spark . for hadoop java se development kit and one of the following sets: postgresql or mysql or apache hbase . elasticsearch . note that support for scala and spark were removed as of predictionio . . note that support for elasticsearch is

deprecated as of predictionio . . if you are running on a single machine, we recommend a minimum of gb memory. if you are using linux, apache spark local mode, which is the default operation mode without further configuration, may not work. in that case, configure your apache spark to run in standalone...

https://predictionio.apache.org/install/

to end of metadata created by liang chen , last modified by raghunandan s on oct , go to start of metadata the easiest way to use apache carbondata is via one of the released versions in the maven central repository . for example, if you are developing using maven and want to use the carbondata's spark

integration module, add the following dependencies to your pom.xml file: org.apache.carbondata carbondata-spark ....

https://cwiki.apache.org/confluence/display/CARBONDATA/Releases

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developer and any scenario cognitive servicesadd smart api capabilities to enable contextual interactions azure bot serviceintelligent, serverless bot service that scales on demand machine learningbuild, train and deploy models from the cloud to the edge azure databricksfast, easy and collaborative apache spark-based

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