Salesforce Information Cloud File Sharing into Databricks Unity Catalog is now in public preview. This integration allows you to question Salesforce Information Cloud Objects straight from the Databricks Information Intelligence Platform, so you possibly can run analytics with out constructing pipelines or sustaining duplicate knowledge. This allows you to use your Information Cloud buyer 360 belongings in place whereas Databricks handles processing and evaluation in actual time.
This new performance enhances the information federation from Databricks into Salesforce Information Cloud (the opposite route), which lets you leverage Salesforce Information Cloud to activate it throughout apps and experiences.
Evolving Information Entry: From Question Federation to File Sharing
You may already be aware of our present federated queries function utilizing Lakehouse Federation. Federated queries utilizing Lakehouse Federation permit you to push down SQL queries to Salesforce Information Cloud, performing computations inside Salesforce Information Cloud. Whereas this offers rapid entry, for complicated queries or bigger datasets, the efficiency and value can generally be a limiting issue.
With File Sharing, we’re taking a big leap ahead. This function permits you to:
- Entry Information in-place: securely entry and analyze your Salesforce Information Cloud knowledge in close to actual time straight utilizing Databricks compute, eliminating the necessity to transfer or duplicate your knowledge.
- Increase efficiency and cut back prices with Databricks compute: By leveraging Databricks’ highly effective and optimized compute capabilities, you possibly can obtain superior question efficiency and considerably optimize your operational prices. As an alternative of pushing down the question, the information itself is analyzed in Databricks compute, enabling Databricks’ engine to deal with the heavy lifting.
- Expertise safe, secret-less authentication: This function makes use of Workload Identification Federation, offering a sturdy and safe authentication mechanism with out the necessity for managing secrets and techniques.
Leverage Salesforce Information Cloud knowledge in Databricks to ship advertising and marketing insights
Think about operating superior analytics, constructing machine studying fashions, and producing dashboards experiences straight along with your Salesforce buyer profiles, engagement knowledge, and extra – all with out ever extracting the information from Salesforce Information Cloud. This not solely streamlines your knowledge pipelines but additionally ensures you are all the time working with the freshest knowledge. For entrepreneurs, this unlocks immense enterprise worth.
- Improve Personalization: Mix your wealthy Salesforce buyer profiles with different enterprise knowledge in Databricks to create a very unified view of your clients, enabling extremely customized advertising and marketing campaigns and buyer journeys.
- Refine Viewers Modeling: Construct subtle viewers segments utilizing Databricks’ superior analytics and machine studying capabilities on stay Salesforce Information Cloud knowledge, resulting in simpler concentrating on and better conversion charges.
- Speed up Insights: Shortly analyze buyer habits, marketing campaign efficiency, and product interactions with out knowledge motion delays, permitting for agile decision-making and optimization of selling methods.
Getting Began: Connecting Databricks to Salesforce Information Cloud
To allow Zero Copy File Sharing, a collaboration between your Salesforce Information Cloud admin and Databricks admin is required. This is a high-level overview of the steps to get began (see our documentation for full particulars):
On Salesforce Information Cloud:
When you join your Salesforce Information Cloud Information Share, it seems in Unity Catalog as a Catalog. From there, you possibly can set permissions and use Databricks to question and analyze the information.
- [In Salesforce] Create a Information Share Goal and Information Share:
- Create an information share goal in Information Cloud.
- Choose Databricks because the goal.
- Use the Core Tenant ID and Tenant Endpoint to finish the steps 2.b under in Databricks.
- Retrieve and enter Connection URL and Account URL from Databricks (see step 2.c under).
- At this level, you’ve created a Information Share Goal.
- Create a Information Share containing the objects you wish to share, and hyperlink it to the Information Share Goal.
- [In Databricks] On the Databricks Aspect:
- In your Databricks workspace, navigate to the Catalog pane and choose “Add a connection”.
- Enter a user-friendly title and choose “Salesforce Information Cloud File Sharing” as connection kind.
- Enter the Core Tenant ID and Tenant Endpoint particulars offered by Salesforce admin (see above).
- Present Connection URL and Account URL to Salesforce Admin (see step 1.c) to complete organising the information share goal.
- Select a storage location from the drop-down menu; this location will solely retailer metadata.
- Click on “Create Catalog”.
When you join your Salesforce Information Cloud Information Share, it seems in Unity Catalog as a Catalog. From there, you possibly can set permissions and use Databricks to question and analyze the information.
In essence, when you have invested in Salesforce Information Cloud and wish to maximize its worth with Databricks’ superior analytics capabilities with out knowledge motion, File Sharing is the reply.
Be part of us on the Information and AI summit to be taught extra about this function in our joint session: Unlock the Potential of Your Enterprise Information With Zero-Copy Information Sharing, that includes SAP and Salesforce.
