Simplify and Secure your Hadoop Environment with Hortonworks and Centrify

Copyright © 2015 Centrify Corporation. All Rights Reserved. 1
Simplify and Secure Your Hadoop Environment
with Hortonworks and Centrify
Satish Veerapuneni
Senior Product Manager, Centrify
Vinod Nair
Senior Manager, Hortonworks

© Hortonworks Inc. 2011 – 2015. All Rights
Reserved
Hadoop for the Enterprise:
Implement a Modern Data Architecture with HDP
Customer Momentum
•  437 customers (end of Q1 2015)
Hortonworks Data Platform
•  Completely open multi-tenant platform for any app &
any data.
•  A centralized architecture of consistent enterprise
services for resource management, security,
operations, and governance.
Partner for Customer Success
•  Open source community leadership focus on
enterprise needs
•  Unrivaled world class support
•  Founded in 2011
•  Original 24 architects, developers,
operators of Hadoop from Yahoo!
•  650+ Employees
•  1100+ Ecosystem Partners

Reserved
Hadoop for the Enterprise
Hortonworks. We do Hadoop.

Reserved
Traditional systems under pressure
Challenges
•  Constrains data to app
•  Can’t manage new data
•  Costly to Scale
Clickstream
Geolocation
Web Data
Internet of
Things
Docs, emails
Server logs
2012
2.8 Zettabytes
2020
40 Zettabytes
LAGGARDS
INDUSTRY
LEADERS
1
2 New Data
Business Value
ERP CRM SCM
New
Traditional

Reserved
Hadoop emerged as foundation of new data
architecture
Apache Hadoop is an open source data platform for
managing large volumes of high velocity and variety of
data
•  Built by Yahoo! to be the heartbeat of its ad & search business
•  Donated to Apache Software Foundation in 2005 with rapid
adoption by large web properties & early adopter enterprises
•  Incredibly disruptive to current platform economics
Traditional Hadoop
Advantages
ü Manages new data
paradigm
ü Handles data at scale
ü Cost effective
ü Open source
Traditional Hadoop Had
Limitations
" Batch-only architecture
" Single purpose clusters, specific
data sets
" Difficult to integrate with
existing investments
" Not enterprise-grade
Application
Storage
HDFS
Batch
Processing
MapReduce

Reserved
Security in HDP
Making Hadoop Enterprise Ready

Reserved
Hadoop exacerbates the security
challenge
New Security
Requirements
•  Provide consistent and
granular access control to
data for each application
on top of Hadoop
•  Enable complete &
comprehensive definition
and application of policy
across all the different
access types
•  Must retain privacy and
security despite ability to
infer knowledge from co-
existing & unstructured
data
ANALYTICS
Data
Marts
Business
Analytics
Visualization
& Dashboards
ANALYTICS
Applications
Business
Analytics
Visualization
& Dashboards
°
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°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
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°
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°
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HDFS
(Hadoop Distributed File System)
YARN: Data Operating System
Interactive Real-TimeBatch Partner ISVBatch BatchM
PP

ED
W

Clickstrea
m

Web

&
Social

Geoloca7
on

Sensor

&

Machine

Server

Logs

Unstructu
red

SOURCES
Existing Systems
ERP
CRM
SC
M

Reserved
HDP Security: comprehensive,
complete and simple
Security in HDP is comprehensive and complete for Hadoop
Administration
Central management & consistent
security
Authentication
Authenticate users and systems
Authorization
Provision access to data
Audit
Maintain a record of data access
Data Protection
Protect data at rest and in motion
•  HDP ensures comprehensive
enforcement of security policy
across the entire Hadoop
stack
•  HDP provides functionality
across the complete set of
security requirements
•  HDP is the only solution to
provide a single simple
interface for security policy
definition and maintenance

Reserved
HDP Security: comprehensive,
complete and simple
In order to protect any data system you must implement the following
Administration
Central management & consistent
security
Only HDP delivers a single
administrative
console to set policy across the
entire cluster
Apache
Ranger,
Centrify
Authentication
Authenticate users and systems
Integrate with existing AD and LDAP
authentication for perimeter and
project access
Apache Knox,
Native
Kerberos,
Centrify
Authorization
Provision access to data
Work within all Apache projects to
provide consistent authorization
controls
Apache
Ranger,
Centrify
Audit
Maintain a record of data access
Maintain a record of events across
all components that is consistent
and accessible
Apache
Ranger,
Centrify
Data Protection
Protect data at rest and in motion
Wire and storage encryption in
Hadoop.
Refer partner encryption solutions
for more advanced needs
HDFS, Partner
Encryption

•  Introduction
•  IAM Challenges
•  Centrify Solution
•  Demo
•  Case Study
Agenda

Active Directory
ID

Centrify: Unified Identity Management
CLOUD
(IaaS
&
PaaS)

CLOUD
(SaaS)

MOBILE

DATA
CENTER
SERVERS

DATA
CENTER
APPS

by Red Hat
DESKTOPS

ID

ID

ID

ID

ID

ID

ID

ID

ID
ID

ID

ID

ID
ID

ID

ID

ID

ID

ID

ID

ID

ID

Software
and

Cloud
Service

ID

ID

ID
ID

ID

ID

Centrify: Summary
Addressing two major IT challenges: the shift to cloud and mobile
and security as the perimeter dissolves
Unique portfolio that unifies identity across cloud, mobile and data
center — for end users
and privileged users
11 year enterprise security company with over 450 personnel,
global sales and support
Trusted technology with 5,000+ customers – ~50% of Fortune 50 –

and 97% retention rate
Strategic alliances with Microsoft, Apple, AVG and Samsung; 250+
reseller partners

Automotive & EnergyTechnology & TelecomRetail & Internet
Banking & Finance Pharma & Health Defense & Government
Our largest customers are using Centrify IAM
for Hadoop
3
Pharma
Companies
2
Energy
Companies
14
Worldwide Telcos
& Technology
4
U.S. Retailers
2
Major U.S.
Federal Agencies
15
Financial Services
Companies

1. Leverage Existing Identity
Infrastructure
Most Enterprises have Active Directory
and want to leverage it for Hadoop
Deployments
Hadoop has rapidly evolving
Applications, Enterprises want a
consistent IAM mechanism across all the
Applications

2. Regulatory compliance
Hadoop concentrates data from across
the business making it a high value
target
Most will be required to meet one or
more regulations
•  PCI-DSS
•  Sarbanes Oxley
•  HIPAA
•  FISMA
•  FERC NERC
•  Monetary Authority of Singapore

3. IT Management
IT staff should have access to manage
Hadoop clusters in Production
IT require privileges to manage Hadoop
IT don’t need access to the data (PCI
DSS)

Centrify IAM for Hadoop
1.  AD-based IAM for Hadoop
environments
2.  Role-based privilege
management
3.  Session auditing for
regulatory compliance
Securing & simplifying Hadoop by using enterprise-grade
identity & access management

1. AD-based IAM for Hadoop environments
•  Integrate Hadoop into enterprise-grade AD
•  Simplify AD integration for multiple Hadoop clusters
•  Give IT and end users a single Active Directory login
•  SSO user access via Kerberized SSH, Web
•  SSO for other Applications – via Standards Based PAM/NSS, LDAP, SAML,
Kerberos or Plugins
Production/Departmental Clusters
PuTTY Kerberized
ssh
WinSCP
Kerberized
scp
Browser

2. Role-based privilege management
Help Enforce least-privilege for access
•  Centralized role-based privilege
management
•  Eliminate use of root privileges for all but
break glass scenarios
•  Per command privilege elevation or
whitelisted restricted shell
•  Example Roles
•  Data Scientist – read / write access to their
scripts
•  IT Admins – limited privileges to manage
config files and restart services
•  Hadoop Admins – grants privileges of
ambari, hdfs account
Network Monitoring
Privileged Access Security
Perimeter Firewall
DATA CENTER SERVERS
CLOUD (IaaS & PaaS)
DESKTOPS
root
root
local root
root
root
Oracle
domain

3. Session auditing for regulatory compliance
Fully audited user access to
Hadoop clusters
•  Satisfies regulatory mandates including
PCI, HIPAA &
SOX
•  Record user session activity
•  Centralized audit stores for session
recordings
•  Ensure accountability through correlated
activity across the cluster
Network Monitoring
Privileged Access Security
Perimeter Firewall
Report and Reply
Privileged Sessions
DATA CENTER SERVERS

Hortonworks and Centrify – Better Together
Access
P
R
O
V
I
D
E
S
•  Integration w/ LDAP
•  Kerberises Service
Accounts
•  Simple Management
per Cluster
E
X
T
E
N
D
S
•  LDAP to Complex AD
Environments
•  Kerberos for User Access
•  Delegated Management for
Multiple Clusters
Auth •  Data Level Access
Control
•  LDAP lookup for
Users / Groups
•  Role-based Access Controls to
OS
•  LDAP to Complex AD
Environments
Audit •  Captures all Activity
inside Hadoop
•  Session Monitoring and
Recording at OS Level

Centrify IAM for Big Data Customer Case Study
•  Require secure access to
Hadoop & AD is the
company standard for
user identity management
•  Compliance required for
SOX
•  Privileged access visibility
is required for regulatory
compliance
Problem
•  Centrify Server Suite
(CSS):
Enterprise Edition
•  Integrates Hadoop into AD
for identity, access and
privilege management
•  Least privilege access
to sensitive data & session
recording
•  Leveraged existing
investment, tools, process
and skillsets with Active
Directory
•  Addressed SOX compliance
requirements
•  Improved visibility of access,
entitlements and activity
Solution Benefit

Resources & Next Steps
More info
http://www.centrify.com/solutions/data-center/big-data-
security/
http://www.centrify.com/products/centrify-server-suite.asp
Request a trial
http://www.centrify.com/free-trial
Chalktalks, webinars, whitepapers and collateral
http://www.centrify.com/resources

Thank You

Reserved
Cautionary Statement Regarding Forward-Looking Statements
This presentation contains forward-looking statements involving risks and uncertainties. Such forward-
looking statements in this presentation generally relate to future events, our ability to increase the
number of support subscription customers, the growth in usage of the Hadoop framework, our ability to
innovate and develop the various open source projects that will enhance the capabilities of the
Hortonworks Data Platform, anticipated customer benefits and general business outlook. In some
cases, you can identify forward-looking statements because they contain words such as “may,” “will,”
“should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,”
“believes,” “estimates,” “predicts,” “potential” or “continue” or similar terms or expressions that concern
our expectations, strategy, plans or intentions. You should not rely upon forward-looking statements as
predictions of future events. We have based the forward-looking statements contained in this
presentation primarily on our current expectations and projections about future events and trends that
we believe may affect our business, financial condition and prospects. We cannot assure you that the
results, events and circumstances reflected in the forward-looking statements will be achieved or
occur, and actual results, events, or circumstances could differ materially from those described in the
forward-looking statements.
The forward-looking statements made in this prospectus relate only to events as of the date on which
the statements are made and we undertake no obligation to update any of the information in this
presentation.
Trademarks
Hortonworks is a trademark of Hortonworks, Inc. in the United States and other jurisdictions. Other
names used herein may be trademarks of their respective owners.

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