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An Architect’s Approach to the Data Cloud Ingestion API
Learn when to use the Ingestion API with Data Cloud. Discover how to choose the implementation pattern (bulk vs. streaming), and how you can architect secure, maintainable, and composable connectors.
Important: This session is first come, first seated. You do not have a reserved seat.
, CTO and Co-founder, Modelit
Role: Architect, Developer
Product: Agentforce 360 Platform, Data 360
Topic: Integration
Session Level: Intermediate
Session Type: Theater
- Wednesday, Sep 183:30 PM - 3:50 PM PDT(10:30 PM - 10:50 PM GMT)Moscone West, L1 Forest, Redwood Theater
- Thursday, Sep 191:30 PM - 1:50 PM PDT(8:30 PM - 8:50 PM GMT)Moscone South, LL, Content Pavilion, Stage 9
Session Summary by Einstein: During the insightful Salesforce conference session, attendees were introduced to the intricacies of the Data Cloud Ingestion API, where the focus was on custom connector construction and the strategic decision-making process between using standard and custom connectors. The session, led by a CTO with extensive experience in data and Data Cloud, illuminated the technical and business considerations necessary for choosing the right connector type, while also delving into the API's fundamentals, its two implementation patterns—bulk and streaming—and the implications of each on data availability and system performance. A demo provided a practical application of the concepts discussed, showcasing the creation of a custom connector for HubSpot, contrasting it with the standard connector used for Salesforce CRM, and illustrating the process from data extraction to ingestion into Data Cloud. Furthermore, the session highlighted the importance of considering data source features, business requirements, and credit consumption when architecting solutions within Data Cloud, ultimately equipping attendees with the knowledge to make well-informed decisions for their data integration projects.
Key Takeaways by Einstein:
• Attendees learned how to differentiate and decide between standard and custom connectors, with a focus on the latter's creation and long-term maintenance considerations.
• The session provided a comparative analysis of the bulk and streaming patterns of the ingestion API, offering guidance on how to align technical capabilities with business needs.
• A live demonstration detailed the steps for setting up a custom connector for HubSpot, emphasizing the importance of schema definition, batch processing, and secure token management.
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Salesforce Developer, IBM

