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Automate Data 360 Pipelines via MuleSoft and Slack
Learn how to automate hundreds of Data 360 ingestion pipelines using MuleSoft APIs and natural language prompts from Slack - no UI required.

, Senior Member Of Technical Staff, Salesforce

, Senior Member of Technical Staff(SMTS), Salesforce

, Senior Product Manager, Salesforce

Product: Data 360
Role: Developer
Industry: Technology
Topic: Salesforce on Salesforce
Session Level: Intermediate
Session Format: Breakout
  • Thursday, Sep 1711:00 AM - 11:40 AM PDT
    (6:00 PM - 6:40 PM GMT)
    Moscone West, L3, Room 3024
    FIRST COME FIRST SEATED
Session Summary: This session highlighted Salesforce's innovative approach to scaling data ingestion pipelines using MuleSoft, Slack, and Data Cloud, addressing challenges in automation, governance, and scalability. The team explained how they transitioned from manual processes to automated solutions, including a Slack-based form and conversational interface, as well as a git-based orchestration layer for bulk data onboarding. They showcased the integration of Salesforce CRM connectors with Data Cloud to create a trusted, secure, and compliant central repository, supporting over 1,700 pipelines with refresh rates as frequent as every five minutes. Additionally, they demonstrated the use of Data Cloud's code extension capabilities to perform custom data transformations, ensuring data quality and meeting the specific needs of downstream consumers, such as harmonizing schemas and improving auditability.
Key Takeaways:

• Salesforce automated the onboarding of 1,400+ objects into Data Cloud, reducing manual effort, improving consistency, and scaling processes for future growth using MuleSoft and Slack integrations.

• By leveraging Data Cloud's code extension capabilities, the team implemented advanced PySpark-based data transformations, ensuring data trustworthiness and alignment with downstream consumer requirements.

• The transition to automation significantly enhanced governance and repeatability, with git-based workflows providing auditability and the ability to handle bulk data ingestion requests efficiently.

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