Salesforce to Braze Data Ingestion
The Salesforce to Braze Data Ingestion project aimed to create a systematic approach to data management and transfer, ensuring data consistency and real-time synchronization between Salesforce and Braze.
Challenge
The primary challenge was to synchronize data between Salesforce and Braze, ensuring that data changes are efficiently detected and accurately reflected in Braze.
Data Consistency
Cron Job Management
Solution
The project implemented a robust data ingestion process using Node.js and TypeScript, facilitating efficient data manipulation and transfer between Salesforce and Braze.
Result: The solution enabled real-time data synchronization and reduced the risk of data discrepancies, ensuring that data in Braze is always up-to-date and consistent with Salesforce.
Detailed Solution:
- Data Extraction and Manipulation: The process begins with data extraction from Salesforce through a scheduled cron job. The extracted data is then manipulated to fit the structure required by Braze.
- Data Update and Synchronization: Once the data is restructured, it is updated in Braze. A database keeps track of the most recent data, and Salesforce cross-checks this data to identify any changes, which are then reflected in Braze.
- Efficient Data Handling: This systematic approach reduces the risk of data discrepancies and ensures accurate reflection of changes across both platforms.
Impact: The implementation of the data ingestion process led to efficient and accurate data management, enhancing the reliability of data across Salesforce and Braze.
Outcomes
The project ensured that data in Braze is always up-to-date and consistent with Salesforce.
The systematic approach enabled efficient detection and reflection of data changes, reducing manual intervention and errors.
The robust data management process contributed to maintaining accurate and reliable data across platforms.
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