SOQL steps and Salesforce Direct

In Einstein Analytics we build our dashboards with datasets that we have constructed and run in the Data Manager. We do this because we want to denormalize our data to improve the performance of our queries. This does, of course, come with a price that we do not have real-time data, though we can schedule ...

SAQL simply explained – Part 5

In the last blog of this SAQL series, we saw how powerful SAQL really can be by joining datasets together using the cogroup statement. But we are not stopping there, we can do more powerful stuff. Another way of joining different streams is with the union statement, so in this blog, we will uncover that ...

SAQL simply explained – Part 4

What we have covered so far in the SAQL series have been some basic features, however, it can be a lot more powerful. Let’s say you have two different datasets you want to use for a single query; it could be cases and opportunities for an account. Well, with SAQL we can leverage co-grouping to ...