OData comes up when Salesforce users require data from another system on-demand, but, OData has some inherent challenges to be aware of. The new era of cloud data warehouse allows you to deliver the OData vision in a better way.
As companies have increasingly global workforces and customers, it's worth the time for Salesforce administrators to understand how multi-currency works. It doesn't involve any obscure knowledge of finance, and is probably simpler than you think.
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.
A very common (and very reasonable) question I hear, is "how is Omnata different to Tableau/Einstein/Fivetran/Mulesoft/Workato/etc with respect to Salesforce?" The answer depends on a few things. Operational or Analytics? Which Salesforce cloud? Which direction? In 2021, there are more options than ever so we boil them down for you.
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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