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 ...

Sneak Preview: Data prep of the future

When you are new to Einstein Analytics and you for the first time have to build a dataset it may go alright, yes there are a few new concepts to understand especially the grain level (or root object) but you can manage. When it comes to making additional modifications in the dataflow afterward that’s where ...

Co-grouping with clicks not code

Not long ago I took you through co-grouping in my SAQL series, while SAQL is good to know especially when you want to do really advanced stuff, there is no reason why it has to be complicated and in Spring 20 it isn’t (I guess Safe Habour still applies). With clicks instead of manually writing ...

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 ...