The future of Big Data A United Hitachi View

The future of Big Data –

A United Hitachi View

§

Evolutie van Data en Analytics

§

“Internet of Things”

§

Hitachi Social Innovation

§

Vision and Solutions

Een technologische verschuiving

CLOUD

MOBILITY

SOCIAL

THE THIRD PLATFORM

De dynamische IT van vandaag de dag

$$

/G

B/

R

EQ

.

TIME

A

MO

U

N

T

O

F

D

A

TA

IT SPEN

D/BUDG

_ET

DEVICES/APPS

‘07

’15

3X

MO

B

IL

E

FILE

BLOCK

UNSTRUCTURED

DATA

IT AND BUSINESS

LOB

IT

VIRTUAL MACHINES

‘07

‘15

4X

5X

OVER

ALL I

T

CLOUD

CONVERGED

‘11

‘15

7X

$2B

$15B

Het technologische landschap veranderd

UNSTRUCTURED

DATA GROWTH

§

10x rate of structured

Data,

Application, and Content

Drivers

Infrastructure / Storage

Commoditization

KEY TECHNOLOGY

DRIVERS

§

Server, Storage, Network

§

Private, Hybrid, Public

§

Rise of Google, Amazon, etc.

§

Customer shift to consumption model /

managed services

CLOUD &

CONSUMPTION MODELS

“SERVERIZATION” OF STORAGE

§

SAN è NAS / File-Based

§

è white box server / storage

§

Massive scale out for Big Data

INCREASED USE OF FLASH / SSD

§

Performance I/O requirements

§

Both storage AND server

RAPID GROWTH OF

APPLICATIONS AND MOBILE

DEVICES

EMERGENCE OF BIG DATA & ANALYTICS

OPEN

SOURCE

IMPACT

§

Est. 10B+ devices by 2015

§

Pressures on current BI/analytics market

Data vermenigvuldiging in de praktijk

4-ENGINE

BOEING JET:

25,000 flights

1920TB daily

TWITTER:

645M users

700M "tweets"

20 TB daily

NEW YORK STOCK

EXCHANGE:

2.7 billion shares

1TB daily

BUSINESS DRIVEN

HUMAN DRIVEN

MACHINE DRIVEN

WHAT DOES 24 HOURS OF DATA LOOK LIKE?

Analytics en Data revolutie

D

A

TA

EVO

LU

T

IO

N

ANALYTICS EVOLUTION

THINGS

INDUSTRIAL INFRASTRUCTURE,

MOBILE DEVICES….

THE PAST

WHAT HAPPENED ?

BI AND REPORTING

THE PRESENT

WHAT’S HAPPENING NOW ?

REAL TIME

THE FUTURE

WHAT WILL HAPPEN ?

PREDICTIVE

TRANSACTIONAL

FINANCIAL APPS, BUSINESS APPS

Tx

Tx

HUMAN

The Internet of Things

De nieuwe industriele revolutie

PERVASIVE CONNECTIVITY

Dynamic network of interconnected machines and people

ADVANCED ANALYTICS

Highly specialized vertical solutions

Predictive analytics, pattern analysis, machine learning ..

INTELLIGENT MACHINES

Embedded intelligence

MACHINE DATA

Volume, variety and velocity

Data overload! 2.5 quintillion bytes per day

BY 2020

§ 

50 BILLION THINGS WILL BE CONNECTED TO THE INTERNET

Integrating IT and Infrastructure Technologies for a Safer, More Secure World

Social Innovation Business

The Internet of Things That Matter

Het verschil maken

MINING EQUIPMENT

IT

INFRASTRUCTURE

AUTOMOTIVE

SYSTEMS

RAILWAY CONTROL

SYSTEMS AND TRAINS

Hitachi is uniek

Information-

Infrastructure

Innovation

INNOVATE WITH INFORMATION

ONE HITACHI

Analytics

Innovation

Innovation

Social

We build the IT hardware

and software infrastructure

to capture, manage, and

analyze big data

We have the deep

domain expertise to turn

big data into big value

We build the machines

and social infrastructure

Global Centers for Analytic Innovation

USA

© Hitachi Data Systems Corporation 2014. All rights reserved.

15

CLOUD

De fundering voor Social Innovation

15

IT

TELECOM

HEALTHCARE

SECURITY

INFORMATION

INTELLIGENCE

Aggregate

Identify

Analyze

CONTENT

MANAGEMENT

Mobilize

Protect

Archive

Search

CONTINUOUS

INFRASTRUCTURE

Consolidate

Virtualize

Scale

Automate

Converge

SaaS

PaaS

IaaS

Analytics Solutions

MACHINE-TO-MACHINE

Data Center Analytics

HEALTHCARE

Connected Health

TELCO

Network Analytics

Advanced Analytics Architecture

Intelligent Content Management

© Hitachi Data Systems Corporation 2014. All rights reserved.

18

Evolving Analytics Architecture

Foundation for Social Innovation Solutions

18

SMART INGEST

Data capture

Stream processing

Event extraction

Data enrichment

DATA STORAGE AND MANAGEMENT

Specialized data stores Optimized infrastructure

In-memory, federated, scale-out, distributed

ANALYSIS AND COMPUTE

Real-time analytics, batch analytics, hybrid analytics

Machine learning, NLP, voice/image/video

PRESENTATION AND ACTION

Event detection: predictive and prescriptive control

Search, diagnosis, correlation and root-cause analysis

VISUALIZATION AND INSIGHTS

METADATA MGT

Continuous extraction

Unstructured, semi-structured

Domain specific

SOLUTIONS (HITACHI, GLOBAL SYSTEMS INTEGRATORS AND

PARTNERS)

§

Curated architecture integrating Hitachi, Open Source and partner IP.

§

Open and flexible. Cloud and on-premise deployment.

§

Promotes reuse and best-practice repeatability.

§

Reduces application complexity to speed time to market.

SER

VI

C

ES

BULK INGEST

Capture and index

DATA

SOURCES

Deep Domain

Expertise

Network Analytics for CME

19

In partnership with JDSU, Hitachi Consulting, Hitachi Telecom Division and HGC-IA

BUSINESS OBJECTIVES

§  Telecom Infrastructure is a massive capital and

operational expense.

−  Billions spent annually on CAPEX alone.

§  Optimization delivers huge ROI and improved

customer experience.

SOLUTION

§  Ingest real-time network data from highly granular probes.

§  Combine trend analysis, machine learning and real-time

analytics to provide instant consumable insight.

Data Center Analytics

Available through managed services (summer), wider availability later in year

BUSINESS OBJECTIVES

§  Transform data-center data into meaningful insights.

§  Predictive device failure.

§  Root-cause analysis.

§  Anomaly detection.

SOLUTION

§  Real-time streaming data sources collected and analyzed.

−  Correlates multi-channel data sources.

−  Predict events before they happen and take action on the data.

§  Provides real-time operational intelligence from any IT device-

generating systems logs.

Network Analytics for CME

21

Hitachi Construction, Wenco, HGC-IA, HCC, HDS

BUSINESS OBJECTIVES

§  Better operational insight.

§  Reduction in non-productive time via dispatching.

§  Predictive maintenance.

UNDER DEVELOPMENT

§  Mining operations simulations apply machine learning

to drive new dispatch algorithms.

§  Predictive maintenance algorithms.

§  Operational dashboard.

The Future of Big Data – A United Hitachi View

Integrating IT and Infrastructure Technologies for a Safer, More Secure World

Social Innovation Business

When Information Technology Meets Operational Technology

Questions