Parallel Load improvements

Data movement in Qlik Talend Cloud has supported loading multiple tables in parallel for Replication, Landing and Lake Landing tasks. From this release, parallel load definitions are now also supported for individual tables during the full load of data into a target data platform. This helps to significantly improve task performance with the ability to split a source table into ‘segments’ which are then loaded in parallel.

These ‘segments’ are configurable by data ranges for one or more columns* (for example date ranges, PK segmentation etc.). If the source table is partitioned, in a source which supports the parallel load feature, then the segments can be automatically interpreted by source table partitions, or by sub-partitions. Parallel Load is supported for Replication, Landing and Lake Landing tasks.

To learn more including the supported sources and targets for parallel load and any limitations see Loading dataset segments in parallel.