We’re now growing fast enough that we need to formalise the release update process.
Each time we publish an update, we’ll post the details of the update in this topic.
This release brings the following user changes:
- Amazon RDS PostgreSQL as DW.
We always supported RDS as a data source, now we support it as a first-class target platform as well. This means that you can use PostgreSQL on premise, in the cloud on IAAS, or in the cloud as PAAS. Three-click migration means that you quickly and easily migrate between these platforms, as well as Snowflake, Redshift and Azure SQL Data Warehouse.
- New Oracle driver offering more simple setup.
The previous Oracle driver was extremely complex to install, and caused more support issues than any other aspect of installation and configuration. We have now switched to a driver that does not depend on the Oracle client software, with much better results.
- Optional command line credentials.
ELT scripts use environment variables to pass credentials and paths. Some users reported difficulty setting environment variables in complex server environments, so we have added the option of command-line credentials to all jobs.
- Deleting a table or column no longer deletes descendants.
If a table or column is deleted, we now set the descendant columns to NULL. This leaves downstream tables intact, while enabling you to restructure earlier tables in the ELT flow.
- A new Fast Map feature to quickly adjust table and column sourcing.
If you have restructured precedent tables or columns, or changed your mind about the sourcing of a table, you can now quickly update the column sources through this function.
- A new Fast Delete feature to rapidly delete large numbers of columns.
You might only require a handful of columns from a set of joined tables. This feature makes it quick and easy to delete all the unwanted columns in one pass, rather than separately deleting each column.
- Documentation enhancements.
We have added more obvious references to column roles, transformations and calculations in the data warehouse documentation generated by Ajilius.
All users will receive an email with the new code and instructions. There are no database changes in this release, just copy the executable to your Ajilius directory