Big Data Apps and Cloud Identity

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The document discusses how big data and analytics are driving new business application models and identity management needs. It outlines how big data is enabling data-driven decision making and personalized user experiences. This requires separating data access from application logic and controlling access at the data level. Identity analytics is a core component to enable predictive and real-time access to data based on changing user contexts. The new application architecture centers on enabling secure access to data across cloud infrastructure through an identity and analytics fabric.

Technology

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2© Copyright 2013 Pivotal. All rights reserved.
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At the Crossroads:
Big Data & Identity Management
Securing The Next Generation of Business Apps
Balu Rajagopal
Strategy, Operations & Analytics Consulting
balu.rajagopal@rightedge.com

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AGENDA
①  Impact of Big Data & Big Data Analytics
②  New World of Business Apps
③  New Identity Required !
④  Big Data Needs New Identity !

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‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED.
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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Velocity VarietyVolume
Ability to Make Sense of Data in Real-Time and Take Action
What is Big Data Analytics?
Tens of Billions
of Events
Terabytes to
Petabytes to Exabytes
Structured
Semi-Structured
Unstructured
Binary
Business
Value
Actionable Insights
Leading To Superior
Outcomes
$
Adapted from Sources: Gartner, Cetas Analytics

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Driven by Big Data, Consumerization, Connectivity, Digitization
The New Business App 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  BYOD (Mobile) is Happening !
⑤  Real-Time & 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 (economics) !
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
Cloud Infrastructure Fabric (Mobile, Social, Local)
Big Data Fabric
Identity
&
Security
App Fabric Analytics Fabric
Decision Context Engine™
Business Context Workspaces Consumer Context Workspaces
Business Apps Consumer Apps

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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 changing User Context !

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Start Transforming Your Business Now!
FREE CONSULTING OFFER
Coming July 15th !
rightedge.com
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Thank You!
Balu Rajagopal
Strategy, Operations & Analytics Consulting
balu.rajagopal@rightedge.com
Sign-up @
Questions ? Comments ?
Please Email Me.

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Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.

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Generating a custom Ruby SDK for your web service or Rails API using Smithy

Big Data Apps and Cloud Identity

1. BUSINESS CONSULTING FOR THE REAL-TIME ENTERPRISE rightedge STRATEGY. ANALYTICS. TECHNOLOGY. ENABLING BIG DATA TRANSFORMATIONS FOR CONTINUOUS ADVANTAGE™ ™ rightedge.com

2. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. 2© Copyright 2013 Pivotal. All rights reserved. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. At the Crossroads: Big Data & Identity Management Securing The Next Generation of Business Apps Balu Rajagopal Strategy, Operations & Analytics Consulting balu.rajagopal@rightedge.com

7. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. 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

8. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. Velocity VarietyVolume Ability to Make Sense of Data in Real-Time and Take Action What is Big Data Analytics? Tens of Billions of Events Terabytes to Petabytes to Exabytes Structured Semi-Structured Unstructured Binary Business Value Actionable Insights Leading To Superior Outcomes $ Adapted from Sources: Gartner, Cetas Analytics

10. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. Driven by Big Data, Consumerization, Connectivity, Digitization The New Business App 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  BYOD (Mobile) is Happening ! ⑤  Real-Time & Predictive Enterprise is Mandatory !

11. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. Key Drivers Identity Management Innovation ①  Everything on the Cloud (public, private, hybrid) ! ②  Information as a Service (economics) ! ③  Timely Access to Data is Critical ! ④  Dynamic Policy Management ! ⑤  Analytics At the Core ! Graphic Source: Gartner

12. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. 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

14. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. 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

15. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. 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

17. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. Enabling Data-Driven Decision Making The New Enterprise Apps Architecture Cloud Infrastructure Fabric (Mobile, Social, Local) Big Data Fabric Identity & Security App Fabric Analytics Fabric Decision Context Engine™ Business Context Workspaces Consumer Context Workspaces Business Apps Consumer Apps

18. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. 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 changing User Context !

20. ‹#›© COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED. Thank You! Balu Rajagopal Strategy, Operations & Analytics Consulting balu.rajagopal@rightedge.com Sign-up @ Questions ? Comments ? Please Email Me.

21. BUSINESS CONSULTING FOR THE REAL-TIME ENTERPRISE rightedge STRATEGY. ANALYTICS. TECHNOLOGY. ENABLING BIG DATA TRANSFORMATIONS FOR CONTINUOUS ADVANTAGE™ ™ rightedge.com

Big Data Apps and Cloud Identity

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