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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 Data Productivity Cloud UI), to help users easily identify their account.