This document discusses regulation and compliance in data-driven enterprises. It outlines Hortonworks' capabilities for addressing compliance requirements like GDPR through its Hortonworks DataPlane service and open source building blocks. Key capabilities include data discovery, classification, lineage, access controls, and monitoring to enable features like consent management, data subject rights, and breach reporting. The presentation concludes by thanking the audience.

1. 1 © Hortonworks Inc. 2011 – 2018. All Rights Reserved
Regulation and Compliance in the
Data Driven Enterprise
Mark Lochbihler
Director, Partner Engineering
@MarkLochbihler
mlochbihler@hortonworks.com
November 1st, 2018

2. 2 © Hortonworks Inc. 2011 – 2018. All Rights Reserved
Disclaimer
This document may contain product features and technology directions that are under
development, may be under development in the future or may ultimately not be developed.
Project capabilities are based on information that is publicly available within the Apache
Software Foundation project websites ("Apache"). Progress of the project capabilities can be
tracked from inception to release through Apache, however, technical feasibility, market
demand, user feedback and the overarching Apache Software Foundation community
development process can all effect timing and final delivery.
This document’s description of these features and technology directions does not represent a
contractual commitment, promise or obligation from Hortonworks to deliver these features in
any generally available product.
Product features and technology directions are subject to change, and must not be included in
contracts, purchase orders, or sales agreements of any kind.
Since this document contains an outline of general product development plans, customers
should not rely upon it when making purchasing decisions.

3. 3 © Hortonworks Inc. 2011 – 2018. All Rights Reserved
Agenda
 Introduction to Compliance
 Hortonworks and Denodo Capabilities
 Building Blocks
 Key Takeaways / Next Steps

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Compliance - Big Data Lakes

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 Significant Challenges
 No automated solution to map and
inventory data.
 Costly and burdensome.
 No central process to manage data subject
rights.
 Inadequate regulatory reporting process.
 Lack of remediation planning and breach
Management & Notification
Data Privacy and Compliance Challenges For Our Joint Customers
GDPR | California Consumer Privacy Act |
e-privacy act of 2019 | forthcoming privacy regulations
 Significant Risk for Non-Compliance
 Financial Risk
 Reputational Risk
 Business Continuity Risk
 Legal Risk
 On-going Regulatory Risk

6. Requirements for GDPR Provisions
!
Breach
Notification
GDPR
Privacy
by Design
Right to
Access
Right to be
Forgotten/
Right to
Erasure
Consent
Data
Portability

7. Implementing Compliance

8. Building Blocks for Compliance
Identify
and classify
personal data
Understand
provenance,
origin, lineage
and impact
Classify
personal data
for business
purpose
and security
Centralize
data access
and auditing
for consent
and purpose
Monitor
and correlate
data access via
audits for
breach
forensics
Anonymize
&
pseudonymize
personal/
sensitive
Automate
data use,
retention,
and recovery
strategies

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Reserved
Hortonworks Hybrid Data Strategy Provides Compliance Capabilities

10. 10 © Hortonworks Inc. 2011 – 2017. All Rights Reserved
Hortonworks DataPlane Service
a common set of services that
⬢ Supports enterprise deployment strategy and move
to the cloud
⬢ Addresses compliance and regulatory requirements
for enterprise
⬢ Eliminates policy silos and ensures security &
governance moves with data
⬢ Simplifies data asset management and provides
access for analysts and data scientists
⬢ Extensible to new services: Services enablement
layer brings new offerings to market rapidly
The Next Chapter: Announcing Hortonworks DataPlane Service
Enabling The Modern Data Architecture
HORTONWORKS DATAPLANE SERVICE
D A T A S O U R C E I N T E G R A T I O N
C O R E C A P A B I L I T I E S
…
CLOUD
ON PREM
H Y B R I D
IOT
MULTIPLE CLUSTERS & SOURCES
D A T A S E R V I C E S
C A T A L O G
S E C U R I T Y C O N T R O L S
E X T E N S I B L E S E R V I C E S
DATA
LIFECYCLE
DATA
STEWARD
+OTHER
(partner)
* not yet available, coming soon
Extensible Services

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© Hortonworks Inc. 2011 – 2017. All Rights
Reserved
Hortonworks Supports Data Governance on BIG Data Lakes with
Data Stewart Studio
Data & Metadata Security
Business Glossary/Relationships/Knowledge
Graphs
Visually explore connected data
Data Discovery & Fingerprinting
Discover and Auto classify data assets
Profile and characterize data shape and usage
Enterprise Data Catalog
Repository of relevant metadata alongside usage
patterns to provide a complete business context
Schema, content patterns, usage, attributes
Physical, conceptual, and logical metadata
Data Lineage & Impact Analysis
Where did this come from?
What processes and transformations did it
go through ?
What other data is impacted by or feeds
from this data?
What data is related to this data?
What is the business usage context for this data?
Who can see this data?
Who has seen this data?
Is the data protected
• at rest/ in motion?
• against internal and external
threats?
Usage patterns, Audits, Forensics
Monitoring and policies for data and
metadata
Smart Enterprise Search
Provide real time search filtering and navigation experience across data lake
“Google for data”

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© Hortonworks Inc. 2011 – 2017. All Rights
Reserved
Open Source Building Blocks for Compliance
Cybersecurity
& breach
notification
Consent Data Discovery
and Data Protection
Right to be Forgotten/
Right to Erasure
GDPR
Provisions
YARN
HDFS
Storage
and Compute
Components
Data Steward Studio (DSS)Solutions
Apache
Metron

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Reserved
HDP: Security and Governance
Industry First: Dynamic Tag-based Security Policies

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Data Virtualization, Big Data and IoT

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Thank you!
Mark Lochbihler
Director, Partner Engineering
@MarkLochbihler
mlochbihler@hortonworks.com