This document discusses Einstein Analytics and data management. It provides an overview of Einstein Analytics architecture and data sync/connectors. It then demonstrates how to set up a dataflow to import CSV data, create a recipe, modify metadata, and register a dataset. Upcoming features discussed include joining datasets and suggested values in queries. The key benefits mentioned of managing data in the data layer rather than design layer are reducing dependencies on SAQL/JSON and adding common fields to datasets.
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1. From Zero to
Data Hero
Rikke Hovgaard
Einstein Analytics Solution Architect
@HovsaRikke #DataTribe
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3. Forward Looking Statements
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4. What will we cover
· Data in Einstein Analytics
· Data Sync & Connections
· HANDS-ON with Data
· Demo of upcoming features
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5. “Without big data, you are blind and
deaf and in the middle of a freeway.”
– Geoffrey Moore
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6. Get a developer org
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8. EA Architecture
Dataset
DR & Backup
EtLT Layer
(Transform & Convert to Datasets)
Datasets
Query Engine
Visualization
Salesforce Objects
Tables
Asset Storage
Administration & Governance
Sharing & Collaboration
SalesforcePlatform
DedicatedMPPAnalytics
Same Data Center: Dedicated Analytics
Extract
9. Dataflow, Data Sync &
Connectors
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10. Get a developer org
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11. Get a developer org
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13. Dataflow
At minimum has
these plus
Combine/create any
based on these
SQL Oracle
External Data/ ETL
tools/APIs
Data
Lake
SFDC Objects
CSV
(gets added to Dataflow
dependent on DF)
External on it’s own schedule
Other SFDC Orgs
Redshift, Other
Connectors
Marketing Cloud
CSV - Manual
Connect
Trend Report Data in Analytics
Dataset Builder
Data Recipes (not
part of Dataflow)
Start from or
combine from any
of these dataset
Recipes
14. Demo
- Settings
- Data Manager
- Create Dataset
Hands-on
- Import data (csv)
- Create Recipe
- Modify XMD
- Create Dataflow (edgemart, computeExpression,
register)
- Create Dashboard with timeseries and custom map
Demo
- Moana (join, suggested values, aggregation) Not yet GA 🆕
47. Combine
Datasets in
Data Layer
Reduce
Dependency
on SAQL
Add
Derived
Fields in
Data Layer
Reduce
Dependency
on JSON
Bindings
Add
Common
Lookup
Fields to
Datasets
Reduce
Dependency
on JSON
Bindings
Where does it go - data layer
or design layer?
It depends on the use case...
But generally if you can push
it to the data layer do it and
keep these three tips in mind