Get Your Data Flowing Between Salesforce and Snowflake With These Connectors

In the past, getting rich customer data flowing between Salesforce and your data lake or data warehouse involved costly middleware and/or custom development. Recently, however, many companies have been consolidating their data lakes and data warehouses into Snowflake’s Data Cloud. This has not gone unnoticed by Salesforce. As such, they’ve made it easier than ever

What is Data Agility? The Case for Snowflake

By now, it’s widely regarded that the “big data” era is over and we’re now solidly in the era of cloud data. Once considered the pinnacles of tech, systems like Hadoop, Apache Spark, and others are now seen as legacy systems. They require a lot of resources to maintain and scaling generally takes advanced planning.

Surfacing Einstein Discovery Results in Your Snowflake Data

A single source of data will allow organizations to quickly build data models and analytical dashboards using data across business units and systems. A native connector from Einstein to Snowflake eliminates the need for potentially costly middleware and significantly simplifies the integration between these systems. But before we can dig into building a model with

Atrium’s Take on the Einstein Analytics and Snowflake Partnership

With an important update to the Salesforce-Snowflake partnership, Einstein Analytics and Snowflake can deliver even more value to customers. Integrations between the two will allow organizations to combine and analyze all data in Snowflake Cloud Data Platform and visualize it and derive new insights with business intelligence tools such as Tableau and Salesforce applications. Since