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This document discusses securing big data. It notes the challenges of securing data from multiple sources that is complex and flexible. A centralized security model is most secure but less productive, while a decentralized one is least secure but more productive. The document proposes an associative-based security model that is more secure and productive. It compares the SQL and NoSQL models to an associative data model that contextualizes data based on associations like the human brain, providing security through abstraction. The associative model manages pointers between data sources rather than the data itself, allowing compartmentalization for improved security.

How do you Secure Big Data?
Big Data (Fact or
Myth)??

Agenda
Copyright 2014 Atomic Database Corp ©
Information Technology issues today
•Multi Source Data
Aggregation/Correlation
•Data complexity / flexibility
•Data Cyber Security Concerns
Change the Architecture !
Solution?

FBI Hacker
Copyright 2014 Atomic Database Corp ©
Reality Check
The MOST
Dangerous
words in
business
“This is the
way we
have
always
done it”

Computer Productivity Basics
Copyright 2014 Atomic Database Corp ©
Centralized Security
• Most Secure
• Less Productive
De - Centralized Security
• Least Secure
• More Productive
Up to 1980s
After 1990s
Associative Based Security
• More Secure
• More Productive
The Future

$Back to Basics Copyright 2014 Atomic Database Corp © Knowledge Security Knowledge Information Multiple Data Sources Security Level - Critical Security Level - Important Security Level - fractured Information Technology Computer Science Hardware Software (Cir. 1971) SQL FILES Main Frame Trade Feed Social VideoNOSQL EXCEL$

The CEO Security Problem
• Too many disparate Databases and data sources
• Lack of timely information & Incorrect information
• Potential Loss of control of the business
• Sky rocketing cost for storage
• Lack of Enterprise reporting
• Lack of knowledge & support capabilities
• Overly complex systems
Copyright 2014 Atomic Database Corp ©
Contributing issues :

Associative Data Management
Copyright 2014 Atomic Database Corp ©
3rd Normal Form (N) Normal Form
ACID Compliance
A New Option
HR Contracts
Delivery
Accounting
Manufacturing Inventory
CRM SalesAccounts
Clients Marketing
Parts
Distribution
HR Contracts
Delivery
Accounting
Manufacturing Inventory
CRM SalesAccounts
Clients Marketing
Parts
Distribution
HR Contracts
Delivery
Accounting
Manufacturing Inventory
CRM SalesAccounts
Clients Marketing
Parts
Distribution
HR
HR
HR
Aggregation
ETL
Bidirectional
Sync
Single
Source
Bidirectional
Sync
Transition

SQL / No SQL vs Associative
Copyright 2014 Atomic Database Corp ©
18 Tables
176 Fields
1 Model
72 Fields
3rd Normal Form
(circa 1971)
(N) Normal Form
ACID
Compliance
A New Option

Associative data matrix
Copyright 2014 Atomic Database Corp ©
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Associative Pointer
AtomicDB Manages The Pointer (Associations)
It Does NOT Manage the Data

Standard data matrix
Copyright 2014 Atomic Database Corp ©
1991
2001
1986
2001
2012
1993
1991
1998
Lawyer
Teacher
Mother
Mother
Musician
Engineer
Lawyer
Chef
Robert
John
Jeff
Bill
Andre
John
Alex
Bill
Jones
Smith
Jones
Heart
Stone
Jefferson
Washington
Smith
Susan
Susan
Amanda
Amanda
Sally
Summer
Deborah
Brittney

Copyright 2014 Atomic Database Corp ©
1991
1986
2001
2012
1993
1998
Teacher
Mother
Musician
Engineer
Lawyer
Chef
Robert
Jeff
Bill
Andre
John
Alex
Jones
Smith
Heart
Stone
Jefferson
Washington
Susan
Amanda
Sally
Summer
Deborah
Brittney
Information gets contextualized based on
associations and works like the human brain
Security through Abstraction

Copyright 2014 Atomic Database Corp
Multi Database Design
500 + RDBMS
Oracle 10, 9, 11, …
Associative DB
Staging
Connectivity Hub
Application A Application BApplication A Application B
Data Cleansing
Data Normalization
Application C
Associative
DB
Reporting
Intranet
Monitoring
Business
Intelligence
Storage, Licences fees, Agility
Production DW/ DBBi-Directional
Security through Compartmentalization

Associative data matrix
Copyright 2014 Atomic Database Corp ©
Courtesy of Dr Ashis Banerjee

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ADB NYSE Show JM

1. How do you Secure Big Data? Big Data (Fact or Myth)??

2. Agenda Copyright 2014 Atomic Database Corp © Information Technology issues today •Multi Source Data Aggregation/Correlation •Data complexity / flexibility •Data Cyber Security Concerns Change the Architecture ! Solution?

4. Computer Productivity Basics Copyright 2014 Atomic Database Corp © Centralized Security • Most Secure • Less Productive De - Centralized Security • Least Secure • More Productive Up to 1980s After 1990s Associative Based Security • More Secure • More Productive The Future

5. Back to Basics Copyright 2014 Atomic Database Corp © Knowledge Security Knowledge Information Multiple Data Sources Security Level - Critical Security Level - Important Security Level - fractured Information Technology Computer Science Hardware Software (Cir. 1971) SQL FILES Main Frame Trade Feed Social VideoNOSQL EXCEL

6. The CEO Security Problem • Too many disparate Databases and data sources • Lack of timely information & Incorrect information • Potential Loss of control of the business • Sky rocketing cost for storage • Lack of Enterprise reporting • Lack of knowledge & support capabilities • Overly complex systems Copyright 2014 Atomic Database Corp © Contributing issues :

7. Associative Data Management Copyright 2014 Atomic Database Corp © 3rd Normal Form (N) Normal Form ACID Compliance A New Option HR Contracts Delivery Accounting Manufacturing Inventory CRM SalesAccounts Clients Marketing Parts Distribution HR Contracts Delivery Accounting Manufacturing Inventory CRM SalesAccounts Clients Marketing Parts Distribution HR Contracts Delivery Accounting Manufacturing Inventory CRM SalesAccounts Clients Marketing Parts Distribution HR HR HR Aggregation ETL Bidirectional Sync Single Source Bidirectional Sync Transition

9. Associative data matrix Copyright 2014 Atomic Database Corp © Data Data Data Data Data Data Data Data Data Data Data Data Data Data Associative Pointer AtomicDB Manages The Pointer (Associations) It Does NOT Manage the Data

10. Standard data matrix Copyright 2014 Atomic Database Corp © 1991 2001 1986 2001 2012 1993 1991 1998 Lawyer Teacher Mother Mother Musician Engineer Lawyer Chef Robert John Jeff Bill Andre John Alex Bill Jones Smith Jones Heart Stone Jefferson Washington Smith Susan Susan Amanda Amanda Sally Summer Deborah Brittney

11. Copyright 2014 Atomic Database Corp © 1991 1986 2001 2012 1993 1998 Teacher Mother Musician Engineer Lawyer Chef Robert Jeff Bill Andre John Alex Jones Smith Heart Stone Jefferson Washington Susan Amanda Sally Summer Deborah Brittney Information gets contextualized based on associations and works like the human brain Security through Abstraction

12. Copyright 2014 Atomic Database Corp Multi Database Design 500 + RDBMS Oracle 10, 9, 11, … Associative DB Staging Connectivity Hub Application A Application BApplication A Application B Data Cleansing Data Normalization Application C Associative DB Reporting Intranet Monitoring Business Intelligence Storage, Licences fees, Agility Production DW/ DBBi-Directional Security through Compartmentalization

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