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June 2024 changelog

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


25th June

DesignerNew features 🎉


20th June

CDCImprovements 🔧

  • Updated the CDC agent version from 2.93.8 to 2.95.1.
  • Added an option to map date and time source columns to the corresponding Snowflake data types when using Snowflake as a target.
  • Changed the MTLN_CDC_LAST_COMMIT_TIMESTAMP column when using Snowflake as a target with the Change Log transformation type.
  • Library updates and security fixes.

18th June

DesignerNew features 🎉

  • Added a component action bar that will be displayed when you click on a component in the canvas. The action bar currently supports copying the component and deleting the component.
  • Updated data sampling for transformation components to include a drop-down menu where you can set the number of rows sampled, for example 1, 10, 250, 1000. The default is 25 rows.
  • Added an Append To Grid component, which lets you append or prepend data to a pre-existing grid variable in the Data Productivity Cloud. Running this component can add rows to existing columns, but doesn't add columns to the grid.
  • Added the following Flex connectors for developing data pipelines:

10th June

DesignerNew features 🎉


6th June

DesignerNew features 🎉

  • Added support for GPT-4o to the OpenAI Prompt component. When this model is selected, the Image input type is available. Images should be in either Base64 format or a direct, public URL of the image. If you're feeding images in Base64 format, you will need to add data:image/{format_of_your_image};base64, before the encoded image.
  • Added a Volume to Delta Table orchestration component for Databricks, which lets users transfer data from a pre-existing volume in Databricks in to a Delta Lake table without replacing or deleting any existing data.
  • Added a Convert String To Struct transformation component, which takes a string input and converts it to a struct data type.
  • Renamed the Extract Nested Data component to Extract Structured Data for Databricks. This transformation component unpacks arrays of structured data into columns and rows of data in a table. Any existing pipelines will still display an Extract Nested Data component.
  • The Query Result To Grid component is now available for Databricks projects.
  • Added the following Flex connectors for developing data pipelines:
  • A user's account ID is now visible in the user menu (top right of the Hub UI), to help users easily identify their account.