oracle · summary of key value proposition •comprehensive enterprise data management solution :...

Oracle 全数据平台解决方案:

打破技术壁垒, 释放数据能量

Sally Piao

甲骨文公司全球研发副总裁

Copyright © 2017, Oracle and/or its affiliates. All rights reserved.

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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Copyright © 2017, Oracle and/or its affiliates. All rights reserved. 4Copyright © 2017, Oracle and/or its affiliates. All rights reserved. 4

Big DataDisruption

Digitization×Datafication


The New Normal at Oracle Customers

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Expansion of Programming EnvironmentsExpansion of Data Management Components

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360-degree Analytics

Internet of Things:

Captured from devices

Unstructured Data: Log

files, social media

feeds, etc.

Structured Data (In a database)

Device data, sensor data,

Log files, JSON files, media files

Transactional data, PoS data

StreamingHDFS (HadoopFile System) , Object Store

Database

Examples

Data Source

Analysis,Prediction,ML

SQL, OBIEE, RSQL, BI tools, R, ML dashboard

Hive/Impala, R, BI tools, Spark

MLBI tools


Fast, Secure Access to Data from any Source

Internet of Things

Unstructured Data

Structured Data

Device data, sensor

data,

Log files, JSON files, media files

Transactional data, PoS data

StreamingHDFS (HadoopFile System) , Object Store

Database

Examples

Data Source

Analysis,Prediction,ML

SQL, OBIEE, R

SQL, BI tools, R, ML dashboard

Hive/Impala, R, BI tools, Spark

MLBI tools


Conceptual Big Data Architecture

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Actionable

Events

Streaming Engine Data Lake Enterprise Data & Reporting

Discovery Lab

Actionable

Metrics

Actionable

Data Sets

InputEvents

Execution

Innovation

Discovery Output

Data

StructuredEnterprise Data


Key Technologies

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Streaming Engine Data Lake Enterprise Data & Reporting

Discovery Lab

InputEvents

Execution

Innovation

Discovery Output

Data

StructuredEnterprise Data

Notebooks/Analytic Services

Object Store Hadoop/HDFS

ActionableEvents

ActionableMetrics

ActionableData Sets


Key Success Factors

Simplify access

to all data

Discover and predict, fast

Govern and secure all data


Oracle Big Data Strategy

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

BIG DATAMANAGEMENT

BIG DATAANALYTICS

BIG DATAAPPLICATIONS

BIG DATAINTEGRATION

DATACAPITAL

Connect And Govern Any Data

Simplify AccessTo All Data

Discover AndPredict, Fast

Accelerate Data-Driven Action


Oracle Big Data Relative Cloud Services


BIG DATAMANAGEMENT

BIG DATAANALYTICS

BIG DATAAPPLICATIONS

BIG DATAINTEGRATION

DATACAPITAL

Connect And Govern Any Data

Simplify AccessTo All Data

Discover AndPredict, Fast

Accelerate Data-Driven Action

• Oracle Analytics CS• Oracle Advanced Analytics*• Oracle R Advanced

Analytics for Hadoop

• Oracle Real-Time Decision*

• Oracle Management CS• Oracle Social CS & SaaS

• Oracle Database CS• Oracle Big Data CS• Oracle Big Data SQL CS• Oracle Cloud At Customer

• Oracle Data Integration Platform CS

• Oracle IoT CS• Oracle Big Data Connectors*

* Installed in other CS


Data Integration Platform Cloud

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Automation for RealtimeData Warehouses

• Simplified and Automated Initial Load and Incremental Data Replications without coding

Unified, Easy to UseVisual Interface

• Unified Drag and Drop User Experience for Replication, Transforms, and Governance

Pushdown Processingin Cloud or On Premise

• Model Data Flow in the Cloud but Push down Execution to where your Data Lives


Oracle’s Key Differentiators in Enterprise

Data Management

1. Leading Relational Database Technology for Data Warehousing

– Market share leader

– Integrated in-memory technology

2. Complete, integrated data warehouse and big data products

– Broadest portfolio of any vendor: HW, data management, tools, applications

– Same technology available on-premise and cloud

3. Full power of Oracle SQL across DW and big data ecosystem

– Query any data across Hadoop, Kafka, NoSQL, and Oracle Database

– High performance with Exadata Storage Server architecture

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“The data warehouse solution allows us to do more complex processing, analytical and statistical crunching against the data on the platform without having to move it off, which bodes very well for the future”

– Terry McFadden, Enterprise Information Architect, P&G

• Examine business program success

• React more quickly to changing market conditions

• Oracle Data Warehouse using Exadata

• Oracle Big Data Appliance & Cloud

• Oracle Business Intelligence

• Oracle Data Integrator

• Up to 30X performance for POS measurement

• 20 hours to 3 minutes to complete user query

• Perform data analysis previously unthinkable

Business Challenge Solution Results

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“Oracle’s solutions allow us to decouple our product offerings from underlying access technologies, which enables us to more rapidly introduce new products and offers.”

– Brahim Gokalp, Manager, Network Management systems, Turkcell

• Detect and prevent potential fraud

• Resolve disparate data clusters

• Speed up analysis

• Oracle Data Warehouse using Exadata

• Oracle Big Data Appliance

• 4 hour reduction in detecting fraudulent activity

• 10X faster to run reports

• 90% reports take <5 minutes

Business Challenge Solution Results

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Innovation Elements

Oracle Autonomous Database Cloud

Oracle Database 18c

Oracle Cloud infrastructure

Oracle Database Automation

Based On Machine Learning Technology

• Higher volume of accurate data

increases learning

• Leads to more accurate

predictions

• Classify normal query patterns &

automatically tune database

• Detect & connect anomalous

events

• Purpose-built scalable

infrastructure for ML


Easy• Provision a data warehouse in as

little as 15-seconds

• Automated management of

database administration

• Simple Load and Go with

Automated Tuning

• Dedicated cloud-ready migration

tools including Redshift

Fast• Up to 14x performance advantage

than Redshift1

• High concurrency supports multi-

user access and workloads

• Based on Exadata for extreme

performance

Elastic• Only Pay for What you Use with

user defined sizing, on-demand

scaling & idle shut-off

• Independent scaling of compute and

storage

• Instant scaling with zero downtime

Value Proposition

Oracle Autonomous Data Warehouse Cloud

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Analysts Rank Oracle Database #1

Forrester & Gartner: Oracle Ranked Market Leading Data Warehouse Technology

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https://community.oracle.com/community/technology_network_community/analyst-relations/database-analyst-relations-portal


Vertically Integrated Service for Hadoop,

Kafka & Spark

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•Hadoop, Spark, Kafka and more, delivered as an integrated Cloud Service–Cloudera Enterprise – Data Hub Edition 5.x–Oracle Big Data Connectors–Oracle Big Data Spatial and Graph–Oracle Data Integrator Enterprise Edition–Notebook Integration

•Dedicated Compute Shapes with Direct Attached Storage and networking–Clusters start as small as 3 nodes and grow seamlessly–Burst/Shrink Compute when Required–Embedded Edge Nodes–Secure by Default

Big DataCloud Service

Big DataCloud Serviceat Customer


• Oracle ranks 1st / 7 vendors

• Oracle ranks 1st on 3/3 criteria:

– Current Offering

– Strategy

– Market Presence

Forrester Wave: Big Data Hadoop-Optimized Systems

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• “Oracle’s mature BDA continues to make it’s impact”• “One of first vendors to offer Hadoop Optimized

system”• “Oracle is one of few vendors with comprehensive

data security for Hadoop”• BDA tightly integrated with Oracle DB & Exadata• BDA fully preconfigured, pretested, pretuned• BDA includes full complement of software

components


Analyze and Query data across different

technology

Conventional view of Data Management

Emerging view of Data Management

Oracle Big Data SQL


Big Data SQL Value

Easily access any data across big data stores

Provides a unified security model across the sources

Analyze all data using Oracle’s rich SQL dialect

Fast performance using Big Data SQL Smart Scan

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Scale SecureEnterprise Platform

Extend Consume

Oracle Analytics Cloud

Data Integration Services Data Lake Services Database Services

SaaS

Social

Mobile

Sensors

Personal

Enterprise

Executives

Analysts

Data Engineers

Data Scientists

Developers

Admins


Discover Prepare Analyze Predict

Oracle Cloud for Big Data Analytics

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |

Billboards and Transit Displays company win over Microsoft

Digital Reporting • Empower lines of business with self-service

analytics for digital and static billboard ads

Analytics in the Cloud• Leverage insights across all transactions in scalable,

secure data warehouse – running in the public cloud

Solution• Oracle Cloud Platform―BI Cloud, Database,

DW with Hybrid Data Integration

Reduced Delivery By 90%• Delivered interactive, mobile-enabled dashboards

to all levels of the organization for more timely decisions


Challenge • Protect California’s residents and environment by

identifying fraudulent oil well operators• Over 100 years of data…mostly on paper

Solution• Oracle Data Lab including Big Data Cloud and Big

Data Discovery, Oracle Integration Cloud, and Oracle Storage Cloud

Results• $10M+ potential incremental

revenue recovery in one year = 2500% ROI

California Department of Conservation

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Oracle Analytics Cloud Value

ANALYSTS RECOGNIZE AS #1

PERVASIVEMillions of users

COMPREHENSIVE

Single platform for all

analytic tasks for

business

users, analysts, develo

pers

ANYWHERE

COMPELLING PRODUCT


Flexible Deployment Options for Enterprise

Data Management Platform

Commodity Engineered Systems

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Oracle Cloud

Harmonious MobilityOptimally connect personal and

public transportation according to traffic

Analyze Usage TrendsVerify sharing service effectiveness with data analysis and visualization

SolutionOracle Cloud Platform—Analytics

Speed and Low CostRapid cloud implementationwith low monthly fixed cost


Summary of Key Value Proposition

• Comprehensive Enterprise Data Management Solution : Data ingestion, Data Management, Data Analytics to Data Service

• Fast Go to Market : Engineering System/Cloud accelerate Deployment and simplify management

• Easily access any data, Provide a unified security model, Analyze all data and Fast Performance

• Free Choice and Deployment: DIY, Engineering System, Cloud at Customer, public cloud

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Data MiningOAA

Data DiscoveryDV

Data Lake Data Warehouse

Source

Data ApplicationRTD/Apps

Business IntelligenceBIEE

Oracle Database

Oracle IndustryModels

Oracle Advanced Analytics

Oracle Spatial & Graph

DIY/ BDA / BDCC

Hadoop

Oracle NoSQLDB

Oracle R

Oracle Database

In-Memory

Multitenant

Spatial and Graph

DIY/ Exadata / EXaCC

Big DataConnectors

Kafka*/NoSQL DB CS Data Integration Platform CS Bac

kup

DR

Secu

rity

Mgm

t.

Big Data SQL

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