Salesforce Information Cloud File Sharing into Databricks Unity Catalog is now in public preview. This integration permits you to question Salesforce Information Cloud Objects immediately from the Databricks Information Intelligence Platform, so you possibly can run analytics with out constructing pipelines or sustaining duplicate information. This lets you use your Information Cloud buyer 360 belongings in place whereas Databricks handles processing and evaluation in actual time.
This new performance enhances the info federation from Databricks into Salesforce Information Cloud (the opposite path), which lets you leverage Salesforce Information Cloud to activate it throughout apps and experiences.
Evolving Information Entry: From Question Federation to File Sharing
You would possibly already be acquainted with our current federated queries function utilizing Lakehouse Federation. Federated queries utilizing Lakehouse Federation let you push down SQL queries to Salesforce Information Cloud, performing computations inside Salesforce Information Cloud. Whereas this supplies fast entry, for advanced queries or bigger datasets, the efficiency and value can typically be a limiting issue.
With File Sharing, we’re taking a big leap ahead. This function lets you:
- Entry Information in-place: securely entry and analyze your Salesforce Information Cloud information in close to actual time immediately utilizing Databricks compute, eliminating the necessity to transfer or duplicate your information.
- Increase efficiency and scale 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 info 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 Id Federation, offering a sturdy and safe authentication mechanism with out the necessity for managing secrets and techniques.
Leverage Salesforce Information Cloud information in Databricks to ship advertising and marketing insights
Think about operating superior analytics, constructing machine studying fashions, and producing dashboards stories immediately together with your Salesforce buyer profiles, engagement information, and extra – all with out ever extracting the info from Salesforce Information Cloud. This not solely streamlines your information pipelines but additionally ensures you are at all times working with the freshest information. For entrepreneurs, this unlocks immense enterprise worth.
- Improve Personalization: Mix your wealthy Salesforce buyer profiles with different enterprise information 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 dwell Salesforce Information Cloud information, resulting in simpler focusing on and better conversion charges.
- Speed up Insights: Rapidly analyze buyer habits, marketing campaign efficiency, and product interactions with out information motion delays, permitting for agile decision-making and optimization of promoting 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. Here is a high-level overview of the steps to get began (see our documentation for full particulars):
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 info.
- On Salesforce Information Cloud:
- Create a knowledge 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 got created a Information Share Goal.
- Create a Information Share containing the objects you need to share, and hyperlink it to the Information Share Goal.
- On Databricks:
- In your Databricks workspace, navigate to the Catalog pane and choose “Add a connection”.
- Enter a user-friendly identify and choose “Salesforce Information Cloud File Sharing” as connection kind.
- Enter the Core Tenant ID and Tenant Endpoint particulars supplied by Salesforce admin (see above).
- Present Connection URL and Account URL to Salesforce Admin (see step 1.c) to complete establishing the info 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 info.
In essence, in case you have invested in Salesforce Information Cloud and need to maximize its worth with Databricks’ superior analytics capabilities with out information 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.