Learn about the latest approach to Salesforce with Large Data Volumes (LDV) for 2021. Salesforce can now be directly connected to cloud data warehouses; Snowflake and BigQuery, that are designed to handle operational scale workloads. Live-queries solve a bunch of problems faced by traditional extract and load integrations. Omnata unlocks integration use cases like product data, revenue and transactional data, machine learning outputs, and patient records.
Modern warehouses change the paradigm meaning data and IT teams can stop double handling data.
Omnata drastically simplifies integration tasks, from Snowflake to Salesforce and BigQuery to Salesforce. Previously, this required middleware with complex setup and constant maintenance. The simplicity of this new approach rests on two key components, cloud-native data warehouse design and Salesforce Connect external objects.
Your teams need a complete view of customers but that doesn’t mean you need to cram all of that data into your CRM. Previously, opening up live access to your production data warehouse was unthinkable, but BigQuery's cloud architecture is designed for concurrent queries and huge datasets. Omnata’s connector makes the most of this, returning datasets to external objects without loads or syncs.
We’re excited to announce BigQuery to Salesforce with Omnata Connect is now in public preview.
One of the questions Omnata was originally founded on, was “why can’t cloud platforms just talk directly to each other?”
We thought about the priorities of data teams and the existing tools that they use and concluded that outbound data integration could be further simplified. We built a data-engineer friendly experience that uses our native Salesforce app and the native capabilities of Snowflake and dbt, an increasingly popular combination.
Opinions, technical guides and product news from Omnata - modern data integration.
Blogs from James Weakley, Snowflake Data Super Hero.
Insights about Reverse ETL and operational data integration.
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