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Getting Value from Big Data

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Jocelyn TAN

on 5 March 2014

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Transcript of Getting Value from Big Data

Getting Value from Big Data
Insert Presenter’s Name Here
Insert Presenter’s Title Here


Getting Value from Big Data

How to get there quickly and leverage your current infrastructure

Big Data: Challenges and Opportunities

Getting Value from Big Data: How Oracle can help

Big Data at Work

Success Stories

Agenda

Processes

Thoughts

Things

12%

Use
Data

Produce
Data

Executives who feel
they understand
the impact data
will have on their
organizations

For Greater Business Agility and a Competitive Edge

Business Value from Big Data

Better data-driven business decisions

Business Architecture

Best Practices,
Proven Artifacts

Practical Approach,
Proven Methodology

Certified Architects,
Experienced Advisors

Portfolio

Oracle: How We Help

Roadmap

Governance

Current
State

Architecture
Vision

ENTERPRISE
ARCHITECTURE
REPOSITORY

Process

People

Future
State

Analytics Engineers & Developers

Data Integration Architects & Engineers

Data Scientists & Analytics Architects

Analytics Specialized Project Managers

Oracle Business Architects

Oracle Enterprise Architects

Oracle Big Data & Analytics Resources
Over 250 Resources in North America dedicated to Big Data & Analytics

ENTERPRISE
ARCHITECTURE
REPOSITORY

Architecture
Vision

Current
State

Future
State

Roadmap

Governance

Business Architecture

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

Oracle Enterprise Architecture: A Practical Approach

Big Data & Analytics Reference Architecture


Helps you:
Translates 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, both business and IT

Big Data & Analytics Reference Architecture
Key Architectural Principles

Big Data & Analytics Reference Architecture
Key Architectural Principles

World Class Program & Project Management and Infrastructure
Planning, Architecture & Delivery Methodology * OUM * Migration Factory * Consulting Portal Collaboration Tools * Technology Labs

Services for The Oracle Big Data Solution

OPTIMIZATION & BEST PRACTICES

Risk Assessments & Health Checks
Performance Tuning & Solution Optimization
Center of Excellence Support

IMPLEMENTATION & MIGRATION

Solution Design & Implementation / Integration
Rapid Starts
Proof of Values
Migration to latest Oracle Technology

STRATEGY & ARCHITECTURE

Business & Enterprise Architecture
Big Data & Information Architecture Blueprint and Roadmap
IT Governance
Architecture & Engineering Centers

Proactive approach to maximizing system health and availability

Critical issue prevention and faster resolution

Reduced operational cost and IT staff workload


Patching performed by Oracle engineers
24/7 proactive remote fault monitoring
Higher support levels for Oracle stack
Faster response times

Available now for certified configurations on Oracle Exadata Database Machine, Oracle Exalogic Elastic
Cloud and Oracle SuperCluster

ORACLE PLATINUM SERVICES

No Additional Cost

Performance-Oriented Support for
Oracle Engineered Systems

Blueprint and Roadmap Service for Big Data

Faster Time to Value

Key Activities

Overview

Expert Planning
Business / IT drivers, strategies, goals, objectives, and requirements for Big Data
Information Architecture Maturity Assessment
Big Data Architecture Development
Design, Deployment, Operations & Management Strategy, and Planning Roadmap and Implementation Plans
Governance and Operational Recommendations
Outcome
Comprehensive Big Data Reference Architecture, tailored to your environment and aligned with your business needs
Actionable Implementation Plans

10-12 week engagement to define an actionable big data strategy aligned with your business needs
Accelerated assessment of information architecture maturity and readiness
Holistic framework to integrate with existing tools and leverage existing skills
Extensive reference architecture portfolio and deep technology expertise to jumpstart the effort
Practical roadmap with milestones to quickly realize incremental business value

Key Activities

Overview

Maximize Investment
Architecture & Engineering Center

3+ month engagement to transition from high level architecture to physical architecture, including implementation and integration assistance from delivery experts
Architecture guidance and technical expertise to ensure successful deployments
Expertise across Oracle portfolio – helps realize full value of Oracle and big data investments


Expert Planning
All of the activities provided in the Blueprint and Roadmap Service
Review data sources, integration points, compression, and data ingestion of Hadoop
Review data storage, schema, and partitioning options for the recommended Hadoop architectural components
Recommend Hadoop cluster configuration and sizing
Recommendation of Hadoop Architectural Components
Define approach for SQL and/or NoSQL integration
MapReduce recommendations for ETL, data extraction, and data retrieval
Outcomes
Comprehensive Big Data Reference Architecture, tailored to customer environment and aligned with business needs
Transitional Architectures, and actionable Implementation Plans
Implementation / integration assistance

Accelerate Deployment Data Acquisition

Key Activities

Expert Planning
Designed for rapid deployments
Provides insight into integration roadmap

Outcomes
Product install and configuration setup
Skills mentoring

Rapid Start Service


Overview

15 day engagement designed to quickly provide
Technical readiness
Environmental readiness
Skills readiness
Installation and Configuration Readiness
Installation and Configuration of the ODI Connectors for Hadoop
Provides customer knowledge transfer through Workshop style learning

Results

1.5 years time savings and $4 million implementation cost savings over alternative approach
Optimized insight into regional sales performance.
Maximized profit margins by identification and marketing of highest margin products.

Success Story


Additional resources and information:
www.oracle.com/consulting



Contact Oracle Consulting:
<enter contact info for local Consulting inside sales>


Find out how to leverage Big Data
for your
business


Next Steps

Tap into diverse data sets

Find and monetize unknown relationships

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

Helps you:
Translates 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, both business and IT

5

Create New Possibilities

Improve What Exists

Success Story



Big Data solution for Category Management Analytics
Provides insights using the Oracle BDA to analyze data from 19 different data feeds, totaling 60 TB and 6 billion rows of data
The company’s CDM team can now get to data that couldn’t get to before to analyze and test multiple hypothesis and models to develop winning combinations and drive millions of dollars in revenue


Why a 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

SUCCESS STORIES

Results

BIG DATA:
CHALLENGES
AND
OPPORTUNITIES
Getting Value
from Big Data:
How Oracle can help
Big Data
at Work
Full transcript