tReservoirSampling
Extracts a random sample data from a big data set.
tReservoirSampling extracts a sample from the input data set in such a way that profiling results on the sample data are uniform and homogeneous with the profiling results on the full data set.
In local mode, Apache Spark 2.0, 2.3, 2.4 and 3.0 are supported.
For more technologies supported by Talend, see Talend components.
Depending on the Talend product you are using, this component can be used in one, some or all of the following Job frameworks:
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Standard: see tReservoirSampling Standard properties.
The component in this framework is available in Talend Data Management Platform, Talend Big Data Platform, Talend Real Time Big Data Platform, Talend Data Services Platform, and in Talend Data Fabric.
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Spark Batch: see tReservoirSampling properties for Apache Spark Batch.
The component in this framework is available in all Talend Platform products with Big Data and in Talend Data Fabric.