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.
By the end of this article, regardless of your stack, hopefully, you’ll have an appreciation for the general challenges when taking analytics projects into production and some ideas on how to overcome them. Or at the very least, some new things to consider.
Expert tips for Salesforce and Snowflake, plus, open-source and community contributions. Read insights about analytics, machine learning, enterprise architecture and data-engineering.
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