Accelerate the Value of Data

Reltio Data Pipeline for Snowflake

Learn about the different ways that you can leverage Reltio connected data to gain insights into their business processes and initiatives.

Are you a data scientist or business analyst who is in charge of managing and analyzing data in your organization's Snowflake data platform? If you’d like a better way to report accurate insights and critical updates quickly and efficiently, then this is the topic for you!

The Reltio Data Pipeline for Snowflake delivers clean, merged, and validated profile data to your Snowflake data platform, so that you always have accurate data to inform your analytical and reporting decisions. Ensure that your Snowflake tables and views are always in sync with your Reltio data model to give you a seamless Reltio-managed onboarding experience and an automated Reltio data event streaming process. Instantly convert Reltio data updates into Snowflake tables and views in near real-time using Snowpipe. Reduce developmental costs and enhance operational efficiency by eliminating the need for manual data exports and custom programming when moving data into the Snowflake Data Cloud with the Reltio Data Pipeline for Snowflake.

Key features and benefits

Following are the key features of the Reltio Data Pipeline for Snowflake and the benefits associated with each feature:

Enjoy the benefits of low Code/no code with Reltio’s data pipeline

During implementation, you're responsible for bringing your own Snowflake account, cloud storage, event queue, and allowing Reltio permission to write data into their cloud storage. From there, you only need to follow Reltio-provided instructions and code to finish the setup to connect data to their Snowflake. After implementation, Reltio routinely pushes data to your Snowflake environment, so you don't have to pull any data or schedule any jobs from Reltio as Reltio manages the data pipeline, schema, and format moving forward.

Get a complete view of your data with the support of Reltio data types

Entity, relation, interaction, match, and merge tables are provided that you can query at any time. A single entity can be tracked across tables to understand relationships and transactions with other entities. Certain attributes and source data can be identified within a single entity profile. To enhance mastering of data, potential matches and historical merges of entities can be analyzed to refine and improve processes upstream in the Reltio platform. Further, all data represented in these tables reflect the deduplication, enrichment, and standardization functions that occur in the Reltio platform to represent trusted and connected data in any type of analytical model, calculation, report, or visualization allowed within your Snowflake environment. Lastly, all data in these tables can be combined with other sources of data in Snowflake to represent a single source of truth factor within your analytics and data science applications.

Analyze brand-new Reltio data in near real-time

Several data-related activities can occur within the Reltio platform at any given time. You may update the policy date after a customer renewal event, delete a relation between two entities after a merge has taken place, or add a new data source for Reltio to cleanse. Regardless of any activity that occurs in the Reltio platform, the Reltio Data Pipeline for Snowflake will capture and display the latest version of a data update and display the most recent object, like an entity or relation in the customer’s Snowflake environment that would be available to query. Further, any data update that would occur upstream in the Reltio platform would be reflected in your Snowflake environment in a matter of minutes by applying both Reltio’s and Snowflake’s streaming technology to push events in near-real time, so that you'll always have access to the latest data for producing insights.

Integrate with any major cloud provider or storage to ensure compatibility with your organization’s infrastructure

Reltio guarantees data event connection to your Snowflake that is hosted on all major cloud providers (Google, Amazon, and Microsoft). Further, to ensure Reltio data is not stored by Reltio or blended with other data sources during event transfers to Snowflake, the connector authenticates and sends events first to your preferred cloud storage environment (Google GCS, Azure Blob, AWS S3) before Snowflake. This allows you to maintain control of the connection and permissions for their Snowflake to retrieve data from their cloud storage through simple Reltio-provided setup instructions.

Observe and Cleanup The Transfer of Your Data

Reltio-provided staging tables are pre-built to support Snowflake features such as time travel to look at historical data from Reltio. All events sent from Reltio are accounted for in your Snowflake via automated internal consistency checks that ensure Reltio events are written to customer cloud storage. Further, Reltio offers customers the ability to self-serve and track event activity to provide extra reassurance on data transfers to Snowflake from Reltio. For more information, see topics Entity Monitoring API and Event Monitoring API.

For next steps, see topic Activate the Reltio Snowflake connector in your tenant to get started with using the Reltio Data Pipeline for Snowflake.