In this session we talk about Basics of Einstein Analytics. Einstein Analytics processes data using EtLT approach. Extraction, transformation, Loading in Analytics, Transformation in Analytics.
Agenda:-
- What is Einstein Analytics
- Terminology
- Importing Dataset
- Creating Lenses
- Creating Dashboard
- Dashboard Tips and Tricks
- Steps Cross-Dataset filter (Connect DataSet)
- Dataflow Performance Improvement
- View SAQL
Terminologies
- App – Analog to folder
- DataSet – Formatted and Optimized data
- Lenses – Saved exploration from Dataset
- Measure – Numeric fields (any field that can be measured)
- Dimension – Group By
- Filter – Condition
- Grains – One row of denormalized data
- SAQL – Salesforce Analytics Query Language based on pigql
- Pigql – Apache Pig Latine Query Language used in Hadoop as well
- SFDCDigest – Deriving Data
- Augment – Joint between digest
- Faceting – Updating filter to change dashboard content
How many ways to create Dataset
- DataFlow – Using Add Dataset in DF
- Create Dataset Button
- JSON
- Recipe
Fun Facts
Can you restore DataFlow ? No. That’s why download and Backup JSON frequently
Can you restore Dataset ? Yes. Salesforce maintains version of Dataset. Navigate to Dataset dropdown, at bottom of page, there is link to restore dataset
Data Replication
- Decouples the extract of Salesforce data from your dataflows, letting you run it on a separate schedule
- As it runs ahead of time, Dataflow performs faster
- To make it more faster, extraction done in incremental order
- Few other connector gets available once we enable replication
Basics of Einstein Analytics Video

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Thanks
Amit Chaudhary @amit_sfdc
Email :- [email protected]gmail.com