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.

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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:
  • Asana
  • New Relic
  • SAP SuccessFactors
  • Ticketmaster
• 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.

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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.

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27th February

DesignerNew features 🎉

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

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21st February

CDCNew features 🎉

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

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20th February

DesignerNew features 🎉

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

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9th February

DesignerNew features 🎉

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

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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.

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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.

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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:
  • Except
  • Extract Nested Data
  • Map Values
  • Pivot
  • Unpivot

CDCImprovements 🔧

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

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