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1 © Hortonworks Inc. 2011 – 2017 All Rights Reserved

Powering Business Outcomes With Data ScienceIn A Connected World

Sanjay Radia, Founder, Chief ArchitectHortonworks


The New Way of Business Is Fueled by Data

• Connected Customers, Vehicles, Devices

• Socially crowd-sourced requirements

• Digital design and analysis

• Digital prototypes and

tests (simulations)

• Connected Factories, Sensors, Devices

• Human-robotic interaction

• 3D-printing on demand

• Connected Trucks, Inventory

• Location, traffic, weather-aware distribution

• Real-time inventory visibility

• Dynamic rerouting

• Connected Customers, Devices

• Omni- channel demand sensing

• Real-Time Recommendations

• Connected Assets• Remote service

monitoring & delivery• Predictive

maintenance• OTA Updates

MANUFACTURING DISTRIBUTION MARKETING/SALES SERVICEDEVELOPMENT


The Big Data Tech Journey

2011

DATA-AT-REST HADOOP 1.0

100% Open

2015

DATA-IN-MOTIONOut to the edge

2016

CONNECT DATA PLATFORMSCloud/On prem

Today

DRIVE DATA SCIENCE SUCCESSIntelligence across the data lifecycle

2013

YARNEnable multiple

workloads


INTERNETOF THINGS

DATA SCIENCE/MACHINE LEARNING

CLOUD COMPUTING

STREAMINGDATA

~$380B $210B~$1300B ~$19B

Sources: Public Cloud Services Market size, $383B by 2020, Gartner 2017 WW Public Cloud Services market. Big Data & Business Analytics revenues forecast to be $210B by 2020, IDC 2017. IoT Spending forecast to be ~1.31T by 2020, IDC 2017 Worldwide IoT Spending Guide. AI intelligence market size to reach $19,478 million by 2022, growing at a CAGR of 45.4% from 2016 to 2022, Allied Market Research.

The Perfect Storm: Tech Trends Fueling Business


Today’s Reality:Encompass and Connect All Data

SENSORS

EDGE DEVICES

TELEMETRY

CONTROL SYSTEMS

ENTERPRISE DATALAKES

SECURITY DATALAKES

DATALAKES ON-PREM

DATALAKES IN THE CLOUD

DATA AT RESTDATA IN MOTION ACTIONABLEINTELLIGENCE

C L O U D

ON-PREMISES

© Hortonworks Inc. 2011 – 2016. All Rights Reserved

Exception-Based Monitoring

360 View of Operations, Equipment

Failure Analytics, etc.

Deep HistoricalAnalysis

D ATA C E N T E R

Stream Analytics

Cyber Security &

Threat Detection

Telemetry –Connected

Devices

MachineLearning

C L O U DSensors, SCADA, Control Systems

Edge Analytics

Time Series Historian

Modern Data Architecture


Data Science Success Criteria

ENABLE MORE PEOPLE TO PARTICIPATE IN DATA SCIENCE

MAKE DATA SCIENTISTS MOREPRODUCTIVE AND COLLABORATIVE

MASSIVE AMOUNTS OF DATA THE RIGHT TOOLSET FLEXIBLE COMPUTE POWER


Powering the Modern Data Architecture

DATA AT RESTDATA IN MOTION

ACTIONABLEINTELLIGENCE

COMPLETE DATA LIFECYCLE

MANAGEMENT

RUN CONTAINERIZED APPLICATIONSCONCURRENTLY

EDGECLOUD

H O L I S T I C M A N A G E M E N T, G O V E R N A N C E A N D S E C U R I T Y

ON-PREMISES

MULTI-WORKLOADS MULTI-TYPE MULTI-TIER


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 ServiceEnabling The Modern Data Architecture

HortonworksDataPlane Service

Manage, Secure, Govern

DATA IN MOTIONHortonworks DataFlow

DATA AT RESTHortonworks Data Platform

MULTIPLE CLUSTERS & SOURCES

CLOUD

ON PREM

H Y B R I DIOT


Core Capabilities⬢ Data Source Integration

⬢ Data Services Catalog

⬢ Security Controls

Extensible DataPlane Services ⬢ Data Lifecycle Manager

⬢ Data Steward Service

⬢ Extensible to new services

– IBM DSX

Hortonworks DataPlane Service and IBM

Hortonworks DataPlane Service

Data Source Integration

CLOUD

ON PREM

H Y BRI DIOT

core capabilities

Data Services Catalog Security Controls

Data Lifecycle

Data Steward

… +OTHER(partner)

extensible services

CloudManager

IBM DSX


“Innovation happens best not in isolation but in collaboration”

T H E

I N N O V A T I O N

A D V A N T A G E

P R O P R I E T A R Y A P P R O A C H

T I M E

IN

NO

VA

TI

ON

O P E N

C O M M U N I T Y


Thank You

powering business outcomes with data science in a ...dataplatform.jp/program/files/keynote-2.pdf ·...

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