If you have been looking at some of my other blogs, you might know I love the compare table functionality, we get to do powerful calculations without writing code. Now I know that we of course also want our compare tables to be dynamic, so next in the binding agenda is compare table bindings. Compare ...
It’s time for the fifth part of this Demystifying Bindings blog series and this binding type is one of the advanced possibilities in Einstein Analytics, I am talking about nested bindings. I am sure they are many variations of use cases where nested bindings are needed but in this blog, I will focus on using ...
In this blog series, we have already covered a lot of ground looking at the anatomy of a binding and the different data serialization functions available. So it’s time to look at some practical examples. A lot of people including myself find date bindings to be a little difficult as there are so many different ...
It’s time for more SAQL bindings in this third part of demystifying bindings. In the first part of this series, we looked at the anatomy of a binding and the second part looked at how to use bindings for filters in a SAQL query, however, there are more parts to a SAQL query, so we will be looking ...
In the first part of this blog series, we covered the anatomy of a binding by looking at each component. Now, to be honest, most bindings you will write, at least in the beginning, will be using the data serialization functions .asString() and .asObject(), as they cover the most common use cases and is all you need ...
Creating dashboards in Einstein Analytics is easy and it becomes yet easier with every release. But sometimes you want your users to have even more dynamic controls in the dashboards and this is when you start introducing more advanced functionality like bindings. If you are new to Einstein Analytics or even if you have been ...
In my last post, I introduced one of my highlights from the Einstein Analytics Winter 19 release timeseries – the ability to predict future trends based on your data. We looked at the basics around the SAQL ‘timeseries’ statement as well as the ‘fill’ statement. Now I am not done with this topic, because there are more ...
It’s Winter 19 release time! And that means we get some new awesome features in our production environment! One of the things I am excited about is the new timeseries SAQL function. Why? Well, if you look at trends when it comes to big data it is all about machine learning and AI. Einstein Analytics haven’t really ...
Several have asked me “how do we do the dynamic gauge post Summer18 release?”. Why? Well, when the gauge chart was released I wrote a blog on how to make the ranges dynamic; a great use case for actual vs. quota. On top of that, it was often a question I got when I worked with ...
You might have heard of ‘XMD’ working with Einstein Analytics. But do you know what it is? First of all, XMD stands for ‘Extended Metadata’ and it a set of instructions that defines how a user visually see your dataset. Meaning once you apply these instructions every lens or dashboard leveraging this dataset will see ...