The Salesforce Winter ’24 release, shipped with a new Data Share feature, provides live data sharing from Salesforce to Snowflake. This big step in Salesforce’s Bring Your Own Lake (BYOL) strategy aims to provide bi-directional access between Data Cloud and numerous modern data lake solutions. The end result is a Salesforce-managed, frictionless process to create …
Here are highlights from article Snowflake and Salesforce Data Cloud: A Practical Guide | Salesforce Ben
1. Salesforce Winter ’24 release introduces Data Share feature:
– Provides live data sharing from Salesforce to Snowflake.
– Aims to provide bi-directional access between Data Cloud and modern data lake solutions.
– Allows for a holistic view of customer data.
2. Importance of Data Cloud Data Share and BYOL:
– Data Cloud represents an evolution of multiple components, including CDP.
– Snowflake is now integrated with Salesforce in Data Cloud.
– Data sharing enables faster access to data for transactional, analytical, and AI-augmented data analysis.
– Reduces the overhead of maintaining multiple copies of data.
3. Capabilities of Snowflake compared to Salesforce:
– Salesforce is a powerful transactional business application platform.
– Snowflake is a data warehouse designed for advanced analytics and data transformation.
– Provides complete control over data transformation and delivery for analytics use cases.
– Offers the ability to build sophisticated views, machine learning models, analytics apps, and AI-enhanced data analysis.
4. Zero Copy Data Sharing:
– Salesforce’s Data Cloud enables live data sharing with Snowflake.
– Allows Snowflake to access and query Salesforce data without copying all the data.
– Different from the current method of pushing data from Salesforce to Snowflake on a scheduled basis.
5. Benefits of Zero Copy Data Sharing:
– Enables real-time access to Salesforce data in Snowflake.
– Reduces the need for scheduled data transfers.
– Improves efficiency and lowers latency for data, analytics, and Salesforce teams.
– Removes friction points associated with moving data between cloud platforms.
– Aligns with consumption-based pricing model and infrastructure service providers.
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