Sqrrl's Director of Product Marketing, Joe Travaglini, shares some lessons learned about how to approach a "Big Data problem" with his 10 steps to building a Big App, and how to mobilize data-driven thinking into your line of business.

1. Securely explore your data
BUILDING BIG APPS®
WITH SQRRL
ENTERPRISE
Data-Driven Processes to Making Your Big Data Actionable
Joe Travaglini, Director of Product Marketing
3/27/2014

2. OUTLINE
• Brief Company and Product Overview
• Setting Context: The “Big Promise”
• Steps for Building a Big App
• How Sqrrl can help
2© 2014 Sqrrl Data, Inc. | All Rights Reserved

3. COMPANY OVERVIEW
© 2014 Sqrrl Data, Inc. | All Rights Reserved 3

4. WHO WE ARE
© 2014 Sqrrl Data, Inc. | All Rights Reserved
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
Sqrrl Founded
2012
1st Sqrrl Release
and Customers
2013
NSA Open
Sources
Accumulo
2011
Investors:
4

5. OUR KEY FEATURES
© 2014 Sqrrl Data, Inc. | All Rights Reserved
Sqrrl Enterprise has best-in-class security,
scalability, and flexibility
5
Data-Centric Security
Unprecedented Scale and Rates of Ingest
Automated Labeling and Indexing
Secure Full-Text and Graph Search
Column, Document, and Graph Data Models
Query: SqrrlQL
Analytics: Real-Time Aggregates and Hadoop Integrations

6. SETTING CONTEXT
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7. THE “BIG PROMISE”
“We entered the age of Big Data when the
opportunity cost of throwing data away
exceeded the monetary cost of keeping it…”
… but how do we take advantage of the data to realize the
opportunity?
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How can we make Big Data fulfill the hype?

8. A PROPOSED SOLUTION
• Data Lake as one-stop shop for all things data
• Great in theory, difficult in practice:
• How do you catalog and search data from different
origins?
• What controls are in place for security/compliance?
• How do you turn a big filesystem into a useful
application?
• If you don’t have good answers to the above, you
are now the proud owner of a Data Landfill
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…Enter the Data Lake / Data Hub

9. KEYS TO SUCCESS
• Robust security
• Easy ways to acquire data
• Easy ways to retrieve data
• Compelling ways to interact with data
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Our Core Values and Areas of Focus

10. BUILDING A BIG APP
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OK then…

11. BUILDING A BIG APP
1. Define the business objective
! Spell out your goals, outcomes, metrics, KPIs
2. Define users and roles
! What are the classifications of users of your app?
! What actions do they need to perform?
" Strive for specificity
3. Identify relevant datasets
! Specify partial schemas where appropriate
! Consider which fields are most important to index
! Consider data volume for proper capacitization
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Our Methodology for tackling Big Data Problems

12. TUTORIAL
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Dataset Creation in Sqrrl

13. BUILDING A BIG APP, CON’T
4. Determine access policies for the data
! Granular Cell-Level Security Enforcement
! Attribute-based Access Control
5. Load the Data
! Access Labeling and Indexing
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Our Methodology for tackling Big Data Problems

14. TUTORIAL
• Rules file:
• Bulk import:
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Bulk Loading in Sqrrl

15. TUTORIAL
Note that username and
bytesUp are not visible
to this user!
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Bulk Loading Results

16. BUILDING A BIG APP, CON’T
4. Determine access policies for the data
! Granular Cell-Level Security Enforcement
! Attribute-based Access Control
5. Load the Data
! Access Labeling and Indexing
6. Transform the Data
! More often than not
7. Syndicate the Data
! Use the Sqrrl Thrift API to wire a front-end
! Export the data to HDFS, downstream systems
© 2014 Sqrrl Data, Inc. | All Rights Reserved 16
Our Methodology for tackling Big Data Problems

17. BUILDING A BIG APP, CON’T
8. Peruse the data
! Our query language: SqrrlQL
" Real-time, Secure Text Search
" Graph Search
" Summaries / Filters
9. Evaluate and Refine
! Did I answer the questions I wanted?
! Did the results match expectations?
! Are there new questions to ask?
10. Rinse and Repeat
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Our Methodology for tackling Big Data Problems

18. RECAP
• Start your journey with specific goals in mind
• Big Data can get bigger – and usually does
• Data-Centric Security enables comfortable
consolidation and integration
• Real-time search, discovery, and analytics are the
core of Big Apps
• Sqrrl is here to help!
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19. WHAT’S NEXT
April’s Webinar: Healthcare Apps
with Medyear by Personiform
powered by Sqrrl Enterprise
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20. THANKS!
FOR MORE INFO:
• Visit us at http://www.sqrrl.com
• Follow us on Twitter -- @SqrrlData
• Send us an email: info@sqrrl.com
Presented by:
JOE TRAVAGLINI
Director of Product Marketing
jtrav@sqrrl.com
@joe_travaglini
© 2014 Sqrrl Data, Inc. | All Rights Reserved 20