technology and it trend for disruptive innovation 2015_tech and... · 2015-06-01 · workloads are...
TRANSCRIPT
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Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |
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+
8
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
14
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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
4
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
20
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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