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Einstein analytics basics

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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

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Einstein analytics basics

  1. 1. Farmington Hills Salesforce Developer User Group Salesforce Apex Hours:- Basics of Einstein Analytics #SalesforceApexHours #FarmingtonHillsSFDCDug Speaker :- Jitendra Zaa & Amit Chaudhary Date :- Saturday, March 24, 2018 10:00 AM EST Venue/Link :- Online
  2. 2. Who am I ? Amit Chaudhary • Active on Salesforce Developer Community • Blogging at http://amitsalesforce.blogspot.in/ • Co-Organizer of :- FarmingtonHillsSFDCDug
  3. 3. Speaker Jitendra Zaa Sr. Technical Architect Bluewolf 20 Salesforce Certifications Author - Apex Design Pattern Salesforce MVP 10+ years in Salesforce Blog - https://JitendraZaa.com Follow - @JitendraZaa
  4. 4. 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 ▶ Q&A
  5. 5. Overview ▶ Einstein Analytics processes data using EtLT approach. ▶ Extraction, transformation, Loading in Analytics, Transformation in Analytics
  6. 6. 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
  7. 7. How many ways to create Dataset ▶ DataFlow - Using Add Dataset in DF ▶ Create Dataset Button ▶ JSON ▶ Recipe
  8. 8. 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.
  9. 9. How many ways to see JSON of dashboard 1. Press Ctrl/cmd + E 2. In URL, replace “edit” by “JSON” https://jitendrazaa15-dev- ed.my.salesforce.com/analytics/wave/wave.apexp?tsid=02u460000010swy#dashboard/0FK46000000Cws5G AC/edit
  10. 10. Best Practice Data Replicator
  11. 11. 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 To enable it - Navigate to Setup | Analytics | enable Replicator Make sure to visit Considerations and Limitations
  12. 12. Before Replicator
  13. 13. After Replicator
  14. 14. Einstein Analytics Demo
  15. 15. Reference and other reads ▶ Create Einstein Analytics developer org ▶ Youtube Channel - Let’s Play Salesforce ▶ Youtube Channel - Jitendra Zaa ▶ Trailhead Trailmix - Einstein Analytics ▶ Basics of Wave Blog Post ▶ Apache Pig Wiki ▶ SAQL Reference ▶ Dataflow filter Syntax ▶ Dataflow documentation
  16. 16. Q&A
  17. 17. Thank You

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