In this blog, I am evaluating ‘Mulesoft’ Integration capabilities for Einstein Analytics. I am using Mulesoft as a Middleware (ETL) for executing dataset operations such as creating EA Datasets. Then in the next step in executing further data operations such as Overwrite/Append/UPSERT in a simple batch job by using theirs out of the box supplied connector for Salesforce Analytics. Background: …
In this blog, I am focusing one of the key area “Data Acquisition” on Einstein Analytics. For the demo purpose, I have decided to use Heroku platform (Heroku Connect & Heroku Postgres (SQL) database) which is tightly integrated with Salesforce . Also, my focus is ‘Point-and-Click’ actions without writing a single line of CODE how you can perform these actions precisely …
The summer ’18 Einstein Analytics release delivers more functionalities on the EA Platform. I would highly recommend to check out the release notes for greater depth. In this article, I would try to highlight some of the key updates and upgrades on the platform from this release. 1-Einstein Analytics Pre-built Permission Sets: In case of using EA Platform licenses. Then …
This is one of my favorite topic from this Summer 18 Einstein Analytics release. Over the years we have been doing lots of heavy lifting on dataflow and recipes or SAQL in order to categorize the reports in a specific segment group or highlighting the outliers and so forth. In this new Summer 18 release ‘Conditional Formatting’ has become simpler …
This is my first ever blog on Einstein Analytics. Therefore I would like to start with some of the Enterprise use cases in this article. Indeed there are several methods to execute or handle the same kind of use cases. Einstein Analytics (Former WAVE) launch was a big buzz in Dreamforce 2014 event in San Francisco.I was one of the …