for windows instal Wipe Professional 2023.06

The dayswithoutData and runswithoutData stat rules now count Day 0 and Run 0 as the first day and run without data.You can now use the Data Class and Template Rules pages to manage out-of-the-box and custom Data Class and Template rules.The Estimate Job feature now estimates the overall memory requirements instead of the memory per executor.When using the Estimate Job feature to gauge the resource requirements of a Spark job, you can now set partitionautocal to true on the Admin Limits settings page to automatically calculate Spark partitioning for optimal performance results.Please reach out to your CSM for more information about accessing this package. Note The Hudi Spark connector requires a separate package to work properly due to a security vulnerability in the Hudi bundle jar. When working with remote file connections, you can now leverage the Hudi Spark connector to scan Hudi files.For example, jdbc:trino://.io:443/sample?SSL=true&source=jdbc:presto Ensure that your connection URL contains the following substring: &source=jdbc:presto.You can now scan data stored in Trino using the Starburst Trino JDBC connection.When building SQL rules to run against a dataset, you can now use the new Rule Workbench to create, edit, and preview SQL conditions to help verify that your data adheres to your organization's business requirements.By offloading break records to cloud storage, you have more control over how you manage the results of your DQ jobs, and you can store data in the supported remote connection of your choice.

When running rules against datasets that return many breaking records, you can now optionally export the records to an external Amazon S3 or Azure storage bucket instead of writing them to the PostgreSQL Metastore.

For windows instal Wipe Professional 2023.06