Development Strategies for Enterprise ScaleHow Big Data HelpsJonathan Bruce, Director PM Big Data & Data Services, Salesforce.com@jonbruce
Eli LevineSalesforce.com, LMTS@teleturn
Simon ToensPMTS, Salesforce.com@simontoens
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Customer Company Strategy is Driving More Data to the Platform
Social Mobile Connected Devices
How do we make all of this data actionable?
Our Customers Want to Keep Their Data on Salesforce...
Our Customers Want to Bring us More Data
• structured data• un-structured data • semi-structured data• high volume, velocity, variety• archive data• machine & real time data• sentiment data
YOUR CONTENT
HEREJust change
the background
layer(right-click >
arrange)
Our Customers Want to Do More With Their Data
Our Customers Want to Do More With Their Data
Our Customers Want to Do More With Their Data
Foundational Technology
Force.com Big Data Scale● Millions of records: NO PROBLEM
● Billions of records: CHALLENGING
● SObjects with unlimited scalability?
Big Objects: Big Data SObjects● Virtually unlimited storage
● Many Force.com features
○ REST, SOAP API
○ Custom objects, fields with MD API
○ SOQL
○ Reports
Big Objects: When To Use● Record count > 100s millions
● Can live with some Platform limitations
Event data vs. Entity Data
Big Objects: Tradeoff
Functionality
Scalability
Big Objects: Difficult Things● Real-time versus Batch Experience
● SOQL Joins
● Sharing
● Isolated Transactions
Big Objects: Potential Features● Flexible Schema
● Powerful Data Processing
Force.com Platform
Big Objects: Under the Hood
Force.com API
Reports ApexCustom Objects ...
MultitenantRelational
DB
MultitenantBig Data
Store
HBasePhoenix
Open Source
Big Data on PlatformOur first usecase
Field History Retention● First force.com feature that uses big data technologies● Stores field history in HBase and leverages Phoenix to provide
SOQL access● Why field history?
Field History● Tracks changes to up to 20 fields per object● Read-only audit data
○ Unbounded, accumulates over time as entity data changes○ Cannot (should not) be deleted
● Approaching 100B rows total● > .5B rows for large orgs - causes performance problems
○ Slow or timed out queries, reports, SOQL that read from *History entities (AccountHistory, CaseHistory etc)
○ Too much data for weekly export to complete
Field History● Initial (band-aid) solution ideas
○ Delete field history older than 18 months (for new organizations created post June 2011)
○ Provide a API for customers to delete field history● Feedback
○ Field history is extremely important data for our customers○ Customers do not want to delete this data
Field History Retention - Archive● Field history is event data, a perfect fit for BigObjects● Don’t delete, archive● When Field History Retention is enabled:
○ Affects all entities that have “history tracking” enabled○ History older than 18 months will continuously be archived○ Archived history will be retained for > 10 years○ Metadata API retention policy override to configure time in
live/archive per SObject type○ Allow tracking of more fields & additional field types (large
text fields)
Field History Retention - Query● Distinction between live and archived data: Account/Case/etc
{History} vs FieldHistoryArchive● No sharing● Usecase bounded SOQL support now, additional SOQL and
platform feature support (related lists/reports) over time
Field History Retention DEMO
Jonathan Bruce @jonbruce
Todays Tools ...● Skinny table● Indexes● LDV Trickery?● Data Ingest – Bulk API
field history retention
Field history is the basis for data audit trail
Policy driven data retention policy – 5, 7, 10… years
Increased limits to track history on many fields
data lifecycle management
Programmatic driven data lifecycle from live to archive state
Configurable behavior across custom schema, accessibility & archive data model
Maintain and assure operational efficiency
Retain access and visibility across data lifecycle
Winter ‘14 & Spring ’14 - Pilots
Spring ‘14 & Summer ’14 - Pilots
Jonathan BruceDirector PM –
Big Data & Data Services
Eli LevineLMTS
Simon ToensPMTS
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