Key MessageSalesforce is a publicly traded company. Customers should make buying decisions only on the products commercially available.
Talk TrackBefore I begin, just a quick note that you should base your purchasing decisions on products and services that are currently available.
There are a few concepts from EA that are good to know. I've tried to compare them with std reporting though it two tools that work differently.Datasets are our data, the way we structure our objects, so it's similar to what report types do. To create this structure we use the dataflow.Once we do a single exploration with measures and groupings that is a lens similar to a report.Dashboards is well dashboards. And instead of folders in EA we use apps, but works in the same way as folders controlling access.
Dataset Builder addes instructions (nodes with specific transformations) to Dataflow file User Dataflow file creates datasets by running against SFDC DB/other SFDC orgs/Redshift and/or existing datasets External ETL can directly create datasets in wave Recipies in Data Prep run their own dataflow file against the existing datasets and create new ones All of the datasets are availale for querying (bulding dashboards and lenses on top of them)
Einstein Analytics Part 2
Salesforce Developer User Group
Rikke Hovgaard, Amit Chaudhary
Saturday, OCT 27, 2018 10:00 AM EST ( 7:00 PM IST)
Who am I ?
Amit Chaudhary (Salesforce MVP)
• Active on Salesforce Developer Community
• Blogging at http://amitsalesforce.blogspot.in/
• Co-Organizer of – FarmingtonHillsSFDCDug
• Follow us @Amit_SFDC or @ApexHours
Einstein Analytics Solution Architect with Salesforce
User Group Leader
Blogging at www.salesforceblogger.com
Follow me on Twitter @HovsaRikke
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Data, Data, Data
Without Data Sync With Data Sync
At minimum has
any based on these
External Data/ ETL
Data Landscape - With Connect
(gets added to Dataflow
dependent on DF)
External on it’s own schedule
CSV - Manual
Trend Report Data in Analytics
Data Recipes (not
part of Dataflow)
Start from or
combine from any
of these dataset
Dataflow + Recipe
▶ What: tools to transform and register datasets
▶ Recipe very accessible and user friendly, dataflow more
▶ Example: create a compute expression
▶ Try it yourself:
Let’s look at the
Technical Jargon - The Dashboard
Sales Wave App
Service Wave App
Event Monitoring App
Custom Query (SAQL)
*NEW (summer18) for
conditional formatting and
related - API accessible only
▶ What: Salesforce Analytics Query Language – what is used at
▶ Use when you more complexity. Start out building as much as
possible in UI then switch to SAQL if needed.
▶ Example: YTD comparison, two datasets, timeseries
▶ Try it yourself:
Let’s do some SAQL
▶ What: A different step type that use data directly from
▶ Good for real time – but has an impact.
▶ Example: Logged in user
▶ Try it yourself:
▶ What: A way to link steps together or with widgets.
▶ Example: Dynamic Gauge, Dynamic Groupings etc.
▶ Try it yourself:
Let’s do it
That’s all folks…
▶ Embarking on your EA journey?
▶ Remember to create the Learning Adventure App