Technology and IT Trend for Disruptive Innovation 2015_Tech and... · 2015-06-01 · Workloads Are...

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Transcript of Technology and IT Trend for Disruptive Innovation 2015_Tech and... · 2015-06-01 · Workloads Are...

Page 1: Technology and IT Trend for Disruptive Innovation 2015_Tech and... · 2015-06-01 · Workloads Are Moving to Cloud . 52% . 35% . 12% . 37% . 47% . 15% . Non-Cloud Private Cloud Public
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Technology and IT Trend for Disruptive Innovation

Saint Kim, Senior Director/ CTO Head of Sales Consulting, Oracle Korea

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Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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Agenda

Business Forecast

Market Transform the Business

Technology for Disruption

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2

3

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Asia/Pacific IT Market Growth, 2014-2018(%)

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CIO/LOB Budget Split (%)

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Agenda

Business Forecast

Market Transform the Business

Technology for Disruption

1

2

3

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50 Years 6

Properties

550+

800,000+

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Business Impact Of Digital Disruption Today

Valuation, as a multiple of revenue 2.1x

40x

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Singularity Of Digital Change

2001 2014

Digital Natives and Digital Immigrants

The Millennials

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The Millennials Are The New Customer!

Sources: E&Y, Wealth Front, PewResearch, World Bank

Born after Of the world population

Of the global workforce by 2025

Living in the US

Aggregate net worth

Have enough money or expect to in the future

30% 1980 60%

90m 2T$+ 85%

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Who Do Millennials Trust?

Friends Online Search Engines

Person like me

A regular employee

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Resulting In A Different Level Of Expectations

Empower me WOW

me

… Requiring You To Think Customer In

Know me

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Customer In Changes The Way Banks Engage Customers

Checking Mortgage Insurance

Product Out

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Agenda

Business Forecast

Market Transform the Business

Technology for Disruption

1

2

3

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Big Data

Cloud

Mobile Social Internet of Things

New analytical opportunities at a

massive scale

Foundation for efficiency and business agility

Open for business any place, any time

Enables new levels of customer intimacy

Explosive growth in Device to Device communication

“CTOs must embrace the role of Chief Transformation Officer” – Daniel Burrus, Harvard Business Review, Aug 2013

Drivers For IT Innovation

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Workloads Are Moving to Cloud

52%

35%

12%

37%

47%

15%

Non-Cloud Private Cloud Public Cloud

Now In 2 Years

Public cloud compute workloads are on the rise

Traditional compute workloads decreasing

Private cloud compute workloads rapidly increasing

Source: ComputerWorld & Triangle research study, 2014

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Oracle Public Cloud Services

Data Driven Business

Data as a Service Software as a Service

Modern Business, Modern Cloud Build Modern Applications

Platform as a Service

Leverage Infrastructure

Infrastructure as a Service

Data Source

Data Source

Data Source

Data Source

IaaS

PaaS

SaaS DaaS Others

• Intent Data • B2B Data • Geographic/Demographic Data • Interest, Lifestyle Predictors/ • Past Purchases Data • Branded Data

ERP Cloud

HCM Cloud

CRM Cloud

Infrastructure and Platform Services

MDM, BI and Decisioning Tools

Integration and BPM/SOA Tools

Mobile, Portal and Content Tools

Integration as-a-Service

Security & Identity as-a-Service

Content, Analytics, User Engagement as-a-Service

Development & Deployment as-a-Service

• Elastic Compute with Block Storage & High Availability • Root VM Access, REST APIs • Store & Manage Digital Content • “Backup & Archive” for Files & DBMS in Oracle Cloud • Run any workloads on Oracle Cloud

Management Provisioning

Development Testing

Deployment

Compute

Storage

Network

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Oracle Applications Cloud

CX Foundation

HCM Foundation

ERP Foundation

SCM Foundation

EPM Foundation

Modular design 2

Standardization with common platform services

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Speed through rapid delivery 1

PaaS for enriching apps 5

ratings in SaaS categories

18 leader 3

APPLICATIONS FOUNDATION

CLOUD SOLUTIONS

Marketing Commerce Sales Service

Project Portfolio Mgmt.

Talent Mgmt.

Procurement

CPQ

Global HR

Workforce Rewards

Workforce

Mgmt.

Financials

Product Value Chain

Value Chain Execution

Enterprise Planning

Financial Reporting

Social Apps Marketplace

Value Chain Planning

Manufacturing Asset Lifecycle Management

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Social Social

Expert System Decision Engine

Event Processing

Real-time Actions with Channel Analytics

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Passive Analytics Pattern Recognition

Proactive Execution Pattern Execution

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Hadoop Data Reservoir Momentum Continues

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Hadoop Revenue and Forecast 49% CAGR, 2013-2018

Big Data Infrastructure Market $20.7b in 2018

Big Data Software Market $9b in 2018

Data Warehouse

Existing Sources Emerging Sources

Data Reservoir Data Warehouse

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The Power of Oracle SQL For a wide variety of ‘Big Data’ types

• Structured data – Numeric, string, date, … – Row and column formats

• Unstructured data – LOBs – Text – XML – JSON – Spatial – Graph – Multimedia

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Storage Layer

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Oracle Big Data SQL: A New Hadoop Processing Engine

Filesystem (HDFS) NoSQL Databases (Oracle NoSQL DB, Hbase)

Resource Management (YARN, cgroups)

Processing Layer

MapReduce and Hive Spark Impala Search Big Data

SQL

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What gives Exadata extreme performance? Exadata: Applies SmartScan Close to the Data

Query Data in RDBMS

Oracle SQL

Oracle Exadata Storage Server

Oracle Exadata Storage Server

Exadata

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Oracle Big Data SQL Exadata & Big Data SQL: Applies SmartScan Close to All Data

Query Data in RDBMS and Hadoop

Oracle SQL

HDFS Data Node BDS Server

HDFS Data Node BDS Server

HDFS Data Node BDS Server

HDFS Data Node BDS Server

Oracle Exadata Storage Server

Oracle Exadata Storage Server

Exadata

Big Data Appliance

Fast Massive Parallelism

Filtered Locally

Minimized Data Movement

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Big Data SQL Push Down With SQL Push Down

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Select w.sess_id, w.cust_id, w.page_id, c.name From web_logs w, customers c Where w.source_country = ‘Brazil’ And w.category = ‘TV’ And w.channel = ‘Mobile’ And c.customer_id = w.cust_id

WEB_LOGS

SQL shipped to BDA

10’s of Gigabytes of Data

Only columns and rows needed to answer query are returned

Good utilization of available resources.

SQL executed on Hadoop cluster

Data joined between CUSTOMERS and

WEB_LOGS on server

Big Data SQL Server

Hadoop Cluster

CUSTOMERS

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Data Lifecycle Management & Query Offload More data on-line and available at a lower cost

Move Partition to BDA

Oracle Big Data SQL

Rolling 13 months

Month 14-n

Big Data Rolling Windows

• Process

• Copy older partition to BDA

• Update views • Drop older Exadata partition

• Offloaded data can be accessed via Oracle & Hadoop

• No Application changes required

Oracle Data

PCI FLASH

DRAM

Warm Data

Hottest Data

Active Data

Hadoop Data

Deep Data

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Not Easy to Get Analytic Value at Fast Enough Pace

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Tool Complexity • Early Hadoop tools only for experts

• Existing BI tools not designed for Hadoop

• Emerging solutions lack broad capabilities

80% effort typically spent on evaluating and preparing data

Data Uncertainty • Not familiar and overwhelming

• Potential value not obvious

• Requires significant manipulation

Overly dependent on scarce and highly skilled resources

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Requires a Fundamentally New Approach

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quickly transform and enrich it to make

it better

unlock big data for anyone to discover

and share new value

A single intuitive and visual user interface, to...

find and explore big data to understand its

potential

find explore transform discover share

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Oracle Big Data Discovery. The Visual Face of Hadoop

find explore transform discover share

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