Informatica (ETL), Data Warehouse (Snowflake), and Salesforce CRM (SFDC) – Architecture and Features
Here’s a simplified architecture diagram illustrating the flow of data between Informatica PowerCenter (ETL), Snowflake (Data Warehouse), and Salesforce CRM (SFDC):
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In this architecture:
- Informatica PowerCenter: It serves as the ETL tool, responsible for extracting data from various sources, transforming and cleansing it, and loading it into Snowflake. Informatica PowerCenter provides a wide range of connectors and transformations to perform complex data integration tasks.
- Snowflake Data Warehouse: It acts as the central repository for storing and managing the data. Snowflake provides a scalable, cloud-based data warehouse platform that allows you to store and analyze large volumes of data. Informatica PowerCenter can connect to Snowflake as a target to load transformed data.
- Salesforce CRM (SFDC): It serves as the customer relationship management system where customer data, sales data, and other business-related information are stored. Snowflake can connect to Salesforce CRM to extract data from Salesforce objects or load data into Salesforce for synchronization or data enrichment purposes.
The overall flow involves Informatica PowerCenter extracting data from various sources, performing transformations and data cleansing, and loading the transformed data into Snowflake. From Snowflake, the data can be further processed, analyzed, and aggregated using Snowflake’s querying capabilities. Additionally, Snowflake can connect to Salesforce CRM to transfer data between the two systems, enabling synchronization and leveraging Snowflake’s analytical capabilities on Salesforce data.
It’s important to note that this diagram represents a high-level overview of the architecture and the specific components and configurations may vary based on your specific setup, versions of the tools, and integration requirements.