Skip to content

February 2024 changelog

Here you'll find the February 2024 changelog for the Data Productivity Cloud. Just want to read about new features? Read our New Features blog.

29th February

DesignerNew features 🎉

Added the ability to access the Snowflake Session object from the Python Pushdown component, to allow reading from and writing to the Snowflake database from within a Python script.
Added the following Flex connectors for developing data pipelines:
Added Azure Blob Storage as a data input type for the Excel Query component.
Added Azure Blob Storage as a source and target type for the Data Transfer component.

CDCImprovements 🔧

Updated CDC agent version from 2.90.16 to 2.90.35.
Logging improvements.
Library updates and security fixes.

28th February

DesignerNew features 🎉

Added the Query Result to Grid component, which queries a table and returns rows of data that are loaded into a predefined grid variable.

27th February

DesignerNew features 🎉

Improved user interface for easier pipeline creation. Read Designer UI basics for details.

21st February

CDCNew features 🎉

Added Snapshot Overview to display improved metrics when a pipeline is snapshotting.

20th February

DesignerNew features 🎉

Added Azure Blob Storage as a data input type for the File Iterator component.

9th February

DesignerNew features 🎉

Added support for grid variables in pipelines.
Added a Grid Iterator component for working with grid variables.

8th February

DesignerNew features 🎉

Added the Mailchimp component, which lets you query the Mailchimp API to retrieve data and load it into a table. You can then use transformation components to enrich and manage the data in permanent tables.
Added the following Flex connector for developing data pipelines:
- Mixpanel
Added a toggle to the Schedules tab where users can easily enable or disable their schedules.

6th February

DesignerNew features 🎉

Added the Azure SQL component, which lets you run an SQL query on an Azure SQL database and copy the results to a table. You can then use transformation components to enrich and manage the data in permanent tables.

1st February

DesignerNew features 🎉

Databricks is now a generally available cloud data platform for the Data Productivity Cloud.
The following components have been added to the Data Productivity Cloud for Databricks:

CDCImprovements 🔧

Updated CDC agent version from 2.89.4 to 2.90.16.
Library updates and security fixes.