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Best Practices for Deploying and Managing Your Big Data Solution ( 部署和管理大数据解决方案的最佳实践 ) PowerPoint Presentation
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Best Practices for Deploying and Managing Your Big Data Solution ( 部署和管理大数据解决方案的最佳实践 ). Michael Li ( 李竹华 ) Consulting Technical Director – Oracle Consulting Services( 咨询服务部咨询总监 ). Program Agenda. Common Data Challenges Oracle’s Approach Customer Case Study. How to use Big Data

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best practices for deploying and managing your big data solution
Best Practices for Deploying and Managing Your Big Data Solution (部署和管理大数据解决方案的最佳实践)

Michael Li (李竹华 )Consulting Technical Director – Oracle Consulting Services(咨询服务部咨询总监)

program agenda
Program Agenda
  • Common Data Challenges
  • Oracle’s Approach
  • Customer Case Study
slide4

How to use Big Data

to create Big Insight for your business?

!

!

!

!

!

!

Customer

Analytics

New Market

Opportunity

Business

Performance

Risk

Management

slide5

CHALLENGES

Stale Data

Drowning inSpreadsheets

Islandsof Data

Gather andOrganize All Data

Lack ofData Skill

slide6

BIG DATA LIFECYCLE

NEW REQUIREMENTS

DECIDE

ACQUIRE

New Tools for Acquiring and Organizing Information

Easy Integration of New Infrastructure

In-memory Processing

Advanced Analytics

ANALYZE

ORGANIZE

how can big data help you
How Can Big Data Help You?

Integrating Big Data into Business Operations

  • Better Business Decisions
  • Information Timely Delivered

Anytime, Anywhere, on Any Device

Ability to apply business process changes across more customer segments

Ability to respond to rapidly changing market conditions

Identify and capitalize on a customers propensity to buy

Virtual Office Environment

Executive Agility

Business Drivers

Integration of new data sources with Analytics Platform

Analytical Dashboards with Alert Capability

Social Media Integration

Mobile BI Platform that integrates with Operational Systems

Architectural

Approach

Business SME Engagement & Data Architecture

Real-time data replication

Mobile BI Applications

Required Capabilities

oracle business analytics strategy
Oracle Business Analytics Strategy

Any Data, Any Source

Full Range ofAnalytics

Integrated

Analytic Applications

On Premise, On Cloud,On Mobile

Oracle Business Intelligence Solutions

Oracle Reference Architecture

Oracle Services

comprehensive solution
Comprehensive Solution

ACQUIRE

ORGANIZE

ANALYZE

DECIDE

DECIDE

ACQUIRE

Big Data Appliance

Exalytics

Exadata

Hadoop

NoSQL Database

Hybrid Columnar Compression

Advanced Analytics

Analytic Applications

In-memory Processing

oracle how we help
Oracle: How We Help

Business Architecture

FutureState

CurrentState

ArchitectureVision

Governance

Roadmap

People

Process

Portfolio

ENTERPRISEARCHITECTUREREPOSITORY

Certified Architects,Experienced Advisors

Practical Approach,Proven Methodology

Best Practices,Proven Artifacts

oracle enterprise architecture a practical approach
Oracle Enterprise Architecture: A Practical Approach

Oracle Architecture

Development Process

  • Top-down, business-driven
  • Agile and future state focused
  • Uses reference architectures and best practices
  • Establishes pragmatic governance
  • Aligns with industry frameworks

Business Architecture

FutureState

CurrentState

ArchitectureVision

Governance

Roadmap

ENTERPRISEARCHITECTUREREPOSITORY

big data analytics reference architecture
Big Data & Analytics Reference Architecture
  • Dramatically reduces the time to create your solution architecture
  • Incorporates industry best practices
  • Reduces your risk by providing a repeatable solution blueprint
  • Helps you make the best use of Oracle and other vendor’s products
  • Why a Reference Architecture?

"If you think good architecture is expensive, try bad architecture."         -- Brian Foote and Joseph Yoder

big data analytics reference architecture1
Big Data & Analytics Reference Architecture

Key Architectural Principles

  • All formsof data
  • The system must be able to Capture, process, organize and analyze all forms of data tomeet existing business requirements and support discovery of new business opportunities.
  • The system must be able to maintain relationships and enable navigation between different forms of data.

Helps you:

  • Translate business needs into requirements on the solution architecture
  • Develop your company specific architecture principles by providing a starting set of principles
  • Articulate and enforce your company’s priorities, bothbusiness and IT
  • Common Information & Object Model
  • The system must organize information to provide a single version of truth.
  • The system must share analysis artifacts to provide a single version of the question.
  • Governance must be instituted to properly maintain information and analysis artifacts
  • Integrated Analysis
  • Analysis should be integrated into the user interfaces, devices and processes such that users gain insight where and when they need it.
  • Business analytics systems should be integrated with business processes in such a way to automatically leverage the available analysis to optimize operational processes.
  • Insight toAction
  • The system must be able to monitor for important events and initiate alerts.
  • Users must be able to drill down into information in order to perform analysis.
  • Whenever possible, users should be given insight and guided to take proper action.
big data analytics reference architecture2
Big Data & Analytics Reference Architecture

Conceptual View

Multi-Channel Delivery

Helps you:

  • Quickly establish consensus on the scope of your Big Data & Analytics solution without being distracted by technical details
  • Paint the “big picture” for internal communications to build support

Easily modified to reflectyour company’s priorities

Unified Information Management

Real-TimeAnalytics

IntelligentProcesses

High VolumeData Acquisition

Speed of Thought Analysis

Applications-Embedded Analytics

Multi-structured Data Persistence

Interactive Dashboards

Guided User Navigation

Low LatencyData Processing

Discovery and Advanced Analytics

Performance and Strategy Management

Single Version of the Truth

Event Processing

Real-Time Decisions

System-GeneratedData

OperationalData

ExternalData

COTSData

HistoricalData

AnalyticalData

Reference

Data

Content

Public Cloud

Managed Services

Private Cloud

Traditional IT

big data analytics reference architecture3
Big Data & Analytics Reference Architecture

Multi-Channel

Delivery

Complete Logical View

Governance

Desktop

Laptop

Mobile

Tablet

Print

Email

SMS

Interaction

Layer

Interactive Dashboards

Charts & Graphs

Spreadsheets

Reports

Intelligence Analysis Tools

Advanced Analytics Tools

Guided Analysis

Process

Layer

Security

Custom Analytic Applications

Process-Specific

Analytic Applications

Industry-Specific

Analytic Applications

Helps you to:

  • Ensure your Big Data and analytics solution includes all the necessary capabilities
  • Defines the Big Data & Analytics solution as a complete and integrated solution rather thana piecemeal effort
  • Map on your currentcapabilities to find gaps

Performance Management

Services

Layer

Presentation Services

Business Rules

Business Activity Monitoring

Monitoring

Information Services

Event Handling

Data Processing

Data Virtualization

Event Detection

Information

Layer

HistoricalData

Analytical

Data

Discovery

Data

In-DB

Analytics

Management

Data Ingestion

COTS

Data

Reference

Data

Operational Data

System-GeneratedData

ExternalData

Content

Modeling

Shared

Infras-tructure

Database Machine

Big Data Appliance

Analytics Machine

oracle services
Oracle Services

Designed to Help Make You Successful

  • Maximize Oracle technology
    • Targeted services based on your needs to maximize the performance of Oracle technology
  • Services across the lifecycle
    • Portfolio of services designed across the lifecycle of Oracle product adoption and optimization
  • Oracle technology experts
    • Lifecycle services leverage experience and Oracle best practices
adoption optimization of oracle technology
Adoption & Optimization of Oracle Technology

Using Best Practices and Product Expertise

  • Architecture, Planning,Implementation Services

Complete Support for Oracle Software, Hardware, Engineered Systems

Mission Critical Support Services for AllOracle Applications and Technologies

Your Complete Training Source forOracle Software and Hardware

oracle consulting core capabilities
Oracle Consulting Core Capabilities

Architecture and Strategy

Information Architecture/Big Data Blueprint & Roadmap IT Governance

Migration and Upgrade to Latest Oracle Technology

Solution Design and Implementation

Data Acquisition Rapid Start

Migration and Implementation

Performance Tuning and Solution Optimization

Risk and Operational Analysis and Recommendations Problem Remediation

Optimization and Best Practices

World Class Methodology and Infrastructure:Migration Factory | Oracle Unified Method | Technology Labs

case study thomson reuters
Case Study: Thomson Reuters
  • Oracle Business Intelligence
  • “Analytics as a Service” platform to 1500+ sales and marketing, on billion-row customer usage datasets
  • Deeper historical analysis of customer interaction, subscription value, and other financial and internal project data
  • Faster, higher volume analysis to drive customer acquisition and retention of markets and professional subscriptions
case study land o lakes
Case Study: Land O’Lakes
  • Oracle Endeca Information Discovery
  • Maximize profitability by positioning higher margin products
  • Leverage detailed regional seed & crop protection data to drive sales
  • Correlate marketing initiatives with sales performance
  • Interactive analytics on 20 data sources for 4000 sales & marketing users
  • 1.5 years time savings and $4 million implementation cost savings
  • Better insight on regional sales performance