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Hortonworks DataPlane Service
for Data Lifecycle Management

Globally manage, secure, and govern across all data assets

cloud Global Data Management in a Multi-Cloud Hybrid World

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Hortonworks Dataplane Service

INTRODUCING A SERVICE THAT

REIMAGINES THE MODERN DATA CENTER

AND SOLVES YOUR NEXT-GEN DATA

PROBLEMS

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Reliably access and understand all your data assets


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Apply consistent security and governance policies


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Manage data across on-prem, cloud, and hybrid environments


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Extend platform and easily add next-gen services


Platform Capabilities

Provide a foundation to be used by extensible data services for multiple types and tiers

Hortonworks Dataplane Service
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Data source Integration


Ability to register and/or create data sources to allow access

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Data Services Catalog


Full configuration and management utilities for the enablement of new services

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Security controls


Comprehensive definition and enforcement of security and governance rules

EXTENSIBLE TO NEW SERVICES

Leverage core capabilities to capture value across multiple data sources and asset types

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Data Lifecycle Manager


Control & manage the lifecycle of data across multiple tiers

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Data Steward Studio


Curate, govern and understand data assets to access deep insight and apply consistent policies across multiple tiers

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Cloud Manager


Deploy clusters to the cloud or specific workloads to different environments

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Extensible to new services


Pluggable architecture to allow new services to be enabled over time. This will include Hortonworks as well as partner services.

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Hortonworks DataPlane Service & IBM


IBM Data Science Experience (DSX)


Leverage core capabilities to extend value across multiple data sources and asset types

OPEN SOURCE AND OPEN TO ALL

ONLY a platform built on open source technology can provide common services in heterogeneous environments

INTEGRATED WITH YOUR ENVIRONMENT

Works with simple and complex enterprise environments, from the edge to on-prem clusters to multi-cloud data centers

A modern data architecture that solves next-gen data challenges

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Multiple Sources

Most organizations have multiple clusters and data sources administered with inconsistent policy silos

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Multiple Types

Today's data is a mix of complex types and making sense across them is difficult

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Multiple Tiers

Enterprise data lives in multiple locations

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Business users want real-time trusted data to make accurate business decisions, while technology management wants to simplify administration and lower costs.

Forrester, Big Data Fabric Drives Innovation And Growth, March 8, 2016

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Extensible Service: Data Lifecycle Manager

Data Lifecycle Manager is the first data service delivered on the Hortonworks Dataplane Service (DPS).

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Provides key capabilities to manage the lifecycle of data assets that complies with central security/governance policies


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Scheduled replication and disaster recovery across clusters and sources


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Reliable and efficient backup and restore capabilities to automate complex daily tasks


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Agile and automated tiering options to reduce costs and efficient access to sources


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Extensible Service: Data Steward Studio

Suite of capabilities that allows users to understand, secure, and govern across enterprise data lakes. Ensure consistent security and governance for data assets across tiers

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Curate, discover, and organize data assets based on business classifications, purpose, protections, relevance, etc.


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Understand and audit data asset security and use for anomaly detection, forensic audit/compliance, & proper control mechanisms


... and all across multiple types and tiers of data