This document discusses techniques for addressing large data volumes (LDV) in Salesforce orgs, including big objects. Big objects are a special type of object designed to store and retrieve large data volumes using big data technology. The document also provides a use case where a company wants to archive closed cases to free up storage space while maintaining access. It recommends using a custom big object to address these needs. The webinar will demonstrate creating and deploying a custom big object and retrieving data using asynchronous SOQL.
In-Depth Performance Testing Guide for IT Professionals
Scale with Large Data Volumes and Big Objects in Salesforce
1. Scale with Large Data Volumes
and Big Objects in Salesforce
December 21, 2018 | 11:00 a.m. IST
Satya Sekhar
Trailhead Developer
Salesforce
Atul Rajguru
Sr. Technical Architect
Cybage
Jigar Shah
Enterprise Solutions Architect
Eternus Solutions
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4. Have Questions?
● Don’t wait until the end to ask your question!
● Technical support will answer questions starting now.
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● Please don’t repeat questions. The support team is working their way
down the queue.
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● Speakers will tackle more questions at the end, time-allowing
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● More questions? Visit developer.salesforce.com/forums
5. Agenda
● Introduction to LDV
● How LDV Affects Salesforce Orgs?
● Techniques to Address LDV
● What are Big Objects?
● Demo
7. How LDV Affects Salesforce Orgs?
● Performance Slugs
▪ Queries
▪ Search
▪ List Views
▪ Reports
▪ Timeout
● Reduced User Adoption
● Slow Sandbox Refreshes
8. Addressing LDV Challenges
● Design Considerations
● Data Modeling - Data distribution
● Data Skew – Account, Lookup & User
● Active vs Inactive Data & Archival Strategy
● External Data Source, External Object & oData
● Big Objects
9. What are Big Objects?
● Special Type of Objects
designed to store and
retrieve LDV.
● Uses Big Data Technology
in background.
● Standard & Custom Big
Objects
11. Use Case
● UC Corp. is leading provider of online fashion products & has been using
Salesforce Service Cloud to provide immaculate post sales support to their
global customer base considering a high support case inflow.
● Over a period of time they have realized heavy storage consumption due to
accumulation of over a million closed cases in their org.
● They are looking for solution which enables them to:
✓ Liberate the transactional storage consumption
✓ On demand access to archived Cases
✓ Accessibility to closed cases for historical analysis
✓ Ability to perform all of above while being resident on the platform
12. Demo
● Create & Deploy a Custom Big Object
● Big Object Data Manipulation using Apex
● Data Retrieval using ASYNC SOQL
13. Using SOQL Vs Async SOQL
Feature Standard SOQL Async SOQL
Execution Mode Synchronous Asynchronous
Expected Result Smaller Data Sets (K) Large Data Sets (M)
Best Suited For
• Displaying Data on UI
• Manipulations within
Apex
• Aggregation
• Summarizing for Analytics
Field Filters Yes Indexed fields only
14. Important Considerations
● Field Types
● Triggers and Flows
● Access via Apex, Visualforce & Lightning
● Historical Data Analytics
● Data Security
15. Resources - Learn With Trailhead
Large Data Volumes
Big Objects Basics
Salesforce Connect
16. Q & A
Try Trailhead: trailhead.salesforce.com
Join the conversation: @salesforcedevs
Join Trailblazer Community Group: bit.ly/webinarinapac
17. Survey
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