In this version, several improvements to notebooks, EMR, Spark and Conda have been included. We’ve also added a few new features to the Audience module, the ability to use Cytoscape in notebooks, and taken care of numerous bugs.
New Features
- Spark-IQ image - AWS
- Support Dataproc 2.2 (Spark 3.4.x) - Dataproc Notebook Kernel
- Attribute group and value list screen
- Audience configuration screen
- Support Cytoscape in Syntasa Notebooks
Improvements
- Upgrade EMR Notebook Kernel to EMR 7.2.0
- Upgrade EMR Spark-IQ image from 7.0.0 to 7.2.0
- Upgrade Spark on Kube EMR image from 7.0.0 to 7.2.0
- Upgrade script to update all the EMR runtimes from 7.0.0 to 7.2.0
- Clean up terminate Cluster code
- Install Sedona for spark 3.5.0
- Execute dialogue changes for Attributes and Audience List screen
- Attribute Group Configuration: Function Editor Form Constraints
- Notebook Stabilization
- Audience module revamp
- Update Load balancer and Target groups when nodes in node groups get replaced
- Add additional Python versions (3.9 and 3.11) while creating notebook
- Support Conda online and offline installation for different python versions in code processors
- Support Total Attribute and Audience counts in the Interactive API response of Test Button