Balu Rajagopal, Global Product Marketing, Pivotal While Apache Hadoop represents a core infrastructure driver in the Big Data movement, much it changing on application layer technology landscape in order to cross connect data from different repositories in different domains. A new class of Business Applications are emerging that inherently leverages three major fabrics - Big Data platforms, Cloud and Analytics all together. From a business user perspective, the traditional model of logging into every application to access the data to make decisions (primary purpose of apps) is no longer relevant. This means that new authentication, authorization and access control capabilities are needed that leverages the three fabrics mentioned earlier. Speaker Balu Rajagopal is in Global Product Marketing for Pivotal, a Big Data Analytics spinoff from EMC and VMWare that includes Greenplum. Balu came to VMWare via the earlier VMWare acquisition of Cetas.

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STRATEGY. ANALYTICS. TECHNOLOGY.
ENABLING BIG DATA TRANSFORMATIONS
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2© Copyright 2013 Pivotal. All rights reserved.
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At the Crossroads:
Big Data & Identity Management
Enabling The Next Generation of Business Apps
Balu Rajagopal
balu.rajagopal@rightedge.com

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Three Key Components
Digital Business Model
Every
Enterprise
is Digital
Source: MIT Center For Digital Business

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Three Key Components
Digital Business Model
Every
Enterprise
is Digital
Source: MIT Center For Digital Business

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It’s a Big Data World
Chart based on IDC and UC Berkeley Data Growth Estimates, Source: IDC & CosmoBC.com:
http://techblog.cosmobc.com/2011/08/26/data-storage-infographic/
Petabyte
PC Internet
Time
MobileMainframe
Terabyte
DATA
VOLUME
Exabyte
Zettabyte
Machine
2011
Transactions
M 2 M
Interactions
2.0 Zettabytes in
Enterprise Data
Business
Apps
Patterns
Information
Insights
Internet of Things
Industrial Internet
U G C
Social Networks

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Driven by Big Data
The New Enterprise Model
① Every Business Is/Will be Driven by Data !
② No More Function Point Apps as we know it !
③ Data-Driven Decision Making has Arrived !
④ Agility is a Given !
⑤ Predictive Enterprise is Mandatory !

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Key Drivers
Identity Management Innovation
① Everything on the Cloud (public, private, hybrid) !
② Information as a Service (economix) !
③ Timely Access to Data is Critical !
④ Dynamic Policy Management !
⑤ Analytics At the Core ! Graphic Source: Gartner

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Workflow
Centric
Enabling Applications To Personalize Access To Data
Identity Analytics at the Core
New
OLD
Personalized
User Experience
Graphic Adapted From Gartner
SSO -> APPS
SSO -> DATA

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Enabling Context Driven Decision-Making
Key Identity Analytics Requirements
1
2
3
Predictive analytics
Real time analytics
Root Cause/Investigative analytics
E.g.: Predict (User) Access to Data
E.g.: Personalize (User) Access to Data
E.g.: Access Grants/Rejects

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Big Data Driven Business Apps
Emerging App Trends
① Separation of Data From App Logic
② Access Control to Data NOT APPS
③ Dynamic Feature Provisioning
④ Elastic Feature Level Scalability
⑤ Apps are Mashups Personalized by User Context
Authen
Authz
AccessShare
Privacy
SSO
To
Data

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Enabling Data-Driven Decision Making
The New Enterprise Apps Architecture

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Identity Capability Design Considerations
Takeaways For Identity Management
① Apps are CONDUIT for Patterns, Information and Insights from DATA!
② Identity Enables INDIVIDUAL (Personalized) User Experience!
③ SECURE Anywhere Anytime Access to Data NOT APPS!
④ IDENTITY ANALYTICS is a core determinant for use of Big Data!
⑤ Dynamic IDENTITY POLICING based on Dynamic User Context !

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Thank You!
Balu Rajagopal
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15. BUSINESS CONSULTING FOR THE REAL-TIME ENTERPRISE
rightedge
STRATEGY. ANALYTICS. TECHNOLOGY.
ENABLING BIG DATA TRANSFORMATIONS
FOR CONTINUOUS ADVANTAGE™
™
rightedge.com