Sqrrl provides a big data platform called Sqrrl Enterprise that allows customers to securely explore and analyze large datasets. Key features include cell-level security, encryption, role-based access controls, and the ability to integrate with streaming processing engines. Customers use Sqrrl Enterprise for applications like enabling a secure data lake, powering real-time operational apps in financial services, and more.

1. Securely explore your data
SQRRL
OVERVIEW
Ely Kahn
VP Business Development
ely@sqrrl.com

2. WHO WE ARE
Sqrrl’s team has worked with the world’s largest
and most sensitive datasets for the last decade
! Over 20 years of combined
Accumulo experience
! Team includes former Technical
Director of Accumulo at NSA and
6 committers/contributors
Google’s
BigTable Paper
2006
NSA Builds
Accumulo
2008
NSA Open
Sources
Accumulo
2011
Sqrrl Founded
2012
1st Sqrrl Release
and Customers
2013
Investors:
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3. THE PROBLEM
Security is the number one hurdle for adopting
Big Data solutions
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4. ACCUMULO DATA FORMAT
An Accumulo key is a 5-tuple, consisting of:
!
!
!
!
!
Row: Controls Atomicity
Column Family: Controls Locality
Column Qualifier: Controls Uniqueness
Visibility Label: Controls Access
Timestamp: Controls Versioning
Row
Col. Fam.
Col. Qual.
Visibility
Timestamp
Value
John Doe
Notes
PCP
PCP_JD
20120912
Patient suffers
from an acute …
John Doe
Test Results
Cholesterol
JD|PCP_JD
20120912
183
John Doe
Test Results
Mental Health
JD|PSYCH_JD
20120801
Pass
John Doe
Test Results
X-Ray
JD|PHYS_JD
20120513
1010110110100…
Accumulo
Key/Value
Example
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5. INDEXES AND QFDS
Input
Indexes
QuestionFocused
Datasets
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Transformation
Logs/
Observations
• Immutable
• Append-Only
• Simple Security Model
•
•
•
•
•
•
Real-Time
Online
Sorted
Grouped
Aggregated
Complex Security
Model
5

6. SECURITY
Sqrrl Enterprise has a powerful security model featuring
Cell-Level Security™, encryption, & RBAC/ABAC
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7. USE CASE
Many orgs are using Sqrrl Enterprise to enable a
Secure Data Lake™ capability (i.e., multitenancy)
Real-Time
Big Apps
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8. USE CASE
Sqrrl Enterprise can integrate with Stream
Processing Engines (SPEs)
SPE
DATA
Actions
Dashboards
Interactive
Analysis Tools
(Discovery + Forensics)
1.
2.
3.
4.
SPE queries Sqrrl to enrich streaming data
SPE persists results in Sqrrl for future query
SPE takes action automatically
SPE issues data-driven alerts
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5. Sqrrl provides context for dashboards
6. Analysis tools query use Sqrrl to search and
manipulate historical data
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9. USE CASE
Sqrrl Enterprise powers operational apps in the
financial services industry
Signals & Alerting
On Events
Intra-Day, Client Real Time Apps;
Front Office
Historical & Analytical Questions;
Middle/Back Office
Real-Time Operational Apps
BI-Reporting/Analytics
Analytical DB
FX
Messages
SPE
Equity
Trades
Messages
• Complex/Multi-Structured Data
• Fine grain Security
• Multi Tenancy/High Concurrency
• Operational Data Store
• Continuous Data Ingest
• Indexed
• Full Text Search
• Dynamic Schema
Pull
Relevant
Data
• MPP
• Ad Hoc Complex
Queries
• Structured
Analytics
• Medium to low
concurrency
Enterprise Data Bus
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