Transcript Slide 1

<Insert Picture Here>
Oracle Data Warehouse Strategic Update
Ray Roccaforte
Oracle World 2010
Oracle Data Warehouse
Strategic Update
Ray Roccaforte
Vice President, Data Warehouse and Analytic Technology
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.
Four Pillars of Oracle’s DW Strategy
•
•
•
•
Oracle as a Systems Provider: Database Machine
Maximum Leverage of Massive Hardware Capabilities
Embedded Analytics
Oracle as a DW Solutions Provider:
• Exadata Intelligent Warehouse for Industries
Four Pillars of Oracle’s DW Strategy
Oracle as a Systems Provider: Database Machine
• Maximum Leverage of Massive Hardware Capabilities
• Embedded Analytics
• Oracle as a DW Solutions Provider:
• Exadata Intelligent Warehouse for Industries
Sun Oracle Database Machine
• Database Machine eliminates the complexity
of deploying database systems
• Balanced configuration
• Extreme performance and integrated analytics out of the box
• Deploys in days rather than months
• Pre-built, tested, standard, supportable configuration
• Includes Hardware Installation & Site Planning
• Software Configuration
6
Exadata Hardware Architecture
Scaleable Grid of industry standard servers for Compute and
Storage
Database Grid
• 8 compute servers
(1U)
Storage Grid
• 14 storage servers (2U)
• 100 TB High Speed disk,
or
336 TB High Capacity disk
InfiniBand Network
• Redundant 40Gb/s switches
• Unified server & storage net
© 2010 Oracle Corporation
• 5 TB PCI Flash
• Data mirrored across
storage servers
7
New Exadata X2-8
• Full Rack Database Machine for large deployments
• Consolidation, or Large OLTP and DW
workloads
• Complements existing X2-2
• 2 8-socket Intel EX servers (Sun Fire X4800)
• Doubles Database CPU cores to 128
• Quadruples Database Memory to 2TB
• Oracle Solaris or Oracle Enterprise Linux
• 10GB Ethernet connectivity to Data Center
• Same 14 storage servers, and InfiniBand Network
• New Intel 6-core CPUs in Storage Servers
© 2010 Oracle Corporation
8
Four Pillars of Oracle’s DW Strategy
• Oracle as a Systems Provider: Database Machine
Maximum Leverage of Massive Hardware Capabilities
• Embedded Analytics
• Oracle as a DW Solutions Provider:
• Exadata Intelligent Warehouse for Industries
Exadata Hybrid Columnar Compression
• Data is grouped by column
and then compressed
• Query Mode for data
warehousing
• Optimized for speed
• 10X compression typical
• Scans improve proportionally
• Archival Mode for
infrequently accessed data
• Optimized to reduce space
• 15X compression is typical
• Up to 50X for some data
10
10
Sun Oracle Database Machine:
Faster raw scans
• Sun Oracle Database Machine provides semiconductor
cache hierarchy
Database DRAM Cache
400GB raw capacity – up to 4TB user data
100 GB/sec
Exadata Smart Flash Cache
5TB raw capacity – up to 50TB user data
50 GB/sec
Exadata disks
100TB raw disk capacity
21 GB/sec
11
In-Memory Parallel Execution
• Parallel query processing across tables which are
cached in memory
• How it works:
• Oracle determines appropriate tables for caching
• Tables are distributed across the buffer cache in all nodes
• During queries, each node reads its local portion of the table
• Full parallel bandwidth accessing data in memory
• Not every database objects in a query must be in memory to
leverage in-memory access
12
12
Exadata Flash Cache
Frequently
Used Data
Infrequently
Used Data
• Exadata has 5 TB of Flash: 56 Flash Cards avoid disk controller bottlenecks
• Automatically caches frequently-accessed ‘hot’ data in flash storage
• Intelligently manages Flash: Gives speed of Flash at cost of disk
• Exadata Flash Cache achieves: Over 1 million IO/sec from SQL (8K), Submillisecond response times with 50 GB/sec query throughput
Scanning from Disk: Exadata Smart Scan
• Exadata storage servers implement data
intensive processing in storage
•
•
•
•
•
•
•
Row filtering based on “where” predicate
Column filtering
Join filtering
Incremental backup filtering
Scans on Hybrid Columnar Compressed data
Scans on encrypted data
Data Mining model scoring
• 10x reduction in data sent to DB servers
is common
• No application changes needed
•
•
Processing is automatic and transparent
Even if cell or disk fails during a query
14
14
Four Pillars of Oracle’s DW Strategy
• Oracle as a Systems Provider: Database Machine
• Maximum Leverage of Massive Hardware Capabilities
Embedded Analytics
• Oracle as a DW Solutions Provider:
• Exadata Intelligent Warehouse for Industries
Oracle In-Database Analytics
Oracle In-Database Analytics
• Analytics evaluated
“close” to the data
• Integrated
• Secure
Oracle OLAP: Analyze & Summarize
• Smarter, Faster BI
• Improved Developer
Productivity
• Embedded and
Integrated
Oracle Data Mining: Uncover & Predict
• Advanced Predictive
Analytics
• Advanced Algorithms
• Embedded and
Integrated
In-Database Data Mining
Exadata Smart Scan
• Model scoring
performed
in the Exadata
Storage Server
• Dramatic (2-5X)
performance
improvements
SELECT cust_id from customers
WHERE region = ‘US’
AND prediction_probability(churnmod, ‘Y’, using *) > 0.8;
Exadata Integration with SAS
• Score SAS Models in Exadata
• Import SAS models (via PMML) to
Oracle Data Mining
+
• Logistic and Multiple Regression
models available today
• High-performance scoring in
Exadata
• Score directly against database tables
• Model scoring is executed in storage
tier using native Oracle DM capabilities
Oracle OLAP
• Rapid Development of rich dimensional analytics
• Enhances the analytic content of Business intelligence application
• Excellent query performance for ad-hoc / unpredictable query
• Fast, incremental updates of data sets
• Embedded in the Oracle database instance and storage.
• Safe, secure and manageable
• Benefits from and enhances Exadata architecture
• Automatically gets full benefit of Database Machine Flash Cache
• OLAP query I/O tends to be high volume, random reads
Oracle OLAP 11g
Rich Calculations Delivered to SQL-Based BI Tools
OLAP MDX driver from Simba for MS Excel
Excel 2003
Excel 2010
Excel MDX Query
MDX Parser
MDX Provider Engine
SQL Generator
SQL Query of Cube
© 2009 Oracle Corporation
MDX Provider for
Oracle OLAP
Four Pillars of Oracle’s DW Strategy
• Oracle as a Systems Provider: Database Machine
• Maximum Leverage of Massive Hardware Capabilities
• Embedded Analytics
Oracle as a DW Solutions Provider:
• Exadata Intelligent Warehouse for Industries
Exadata Intelligent Warehouse for Industries
A Complete Data Warehouse Solution for Industries
• Intelligence
– Industry-specific data models
– Packaged advanced analytics
• ... with Extreme Performance
– Improve query performance 10-100x
with Exadata
• … at a Lower Cost
– Simplify your infrastructure
• … for Fast Results
– Jumpstart development - deliver
value quickly
– Automatically exploit Oracle
performance and analytic capabilities
Exadata Intelligent Warehouse Solution for Industries
Packaged Experience and Technology
Business Insight
Extreme
Performance
Fast
Time-to-Value
• Leverage enterprise-wide data model for
industries
• Gain insights using prepackaged advanced
analytics
• Improve query performance 10 -100x
• Grow solution to virtually any scale
• Jumpstart development and deliver value
quickly
• Lower risks
Exadata Intelligent Warehouse for Retail
Packaged Experience and Technology
Business Insight
Extreme
Performance
Fast Results
• Leverage enterprise data model for
retail
• Gain insights using prepackaged
advanced analytics
• Improve query performance
10 -100x
• Grow solution to virtually any scale
• Jumpstart development and deliver
value quickly
• Lower risks
Copyright © 2010, Oracle and / or its affiliates. All rights reserved.
Challenges We’re Hearing from Retailers
Reduce
Stock-outs
Improve Margins
With Localized
Assortments
Increase
Share of Wallet
Improve
In-store
Execution
• Forecast demand and inventory levels for better
in-stock positions
• Apply business intelligence behind every
planning decision
• Differentiate store assortments by customer
profile of store locations
• Unlock trends hidden in transaction data
• Provide the right products all the time
• Determine customer segments
• Perform Market Basket analysis
• Target promotions to enhance loyalty
• Track key metrics for efficient store management
• Optimize store staffing levels
• Monitor shelf availability
Exadata Intelligent Warehouse for Retail
Consolidated View of the Entire Business
Sell Side
• POS
• Order Mgmt
• Workforce
Scheduling
Buy Side
Oracle Retail
Data Model
Inside
• HR
• Finance
• Sales Forecasting
•
•
•
•
PO Mgmt
Warehouse
Pricing
Costing
Outside
• Partners
• Suppliers
• Distributors
1200+ Industry-specific
Measures & KPIs
Interactive Dashboards and Reports
Empowering End Users
Example Analytics: Retail
Anticipate out-of-stock using
statistical forecasts
Analyze comparative store
performance over time
Understand effectiveness of promotions by store
Copyright © 2010, Oracle and / or its affiliates. All rights reserved.
Analyze store traffic and shopper
conversion rates by time of day
Associate products using a market
basket analysis
29
<Insert Picture Here>
Exadata Intelligent Warehouse for Communications
Same idea, but specific to Communications industry
Interactive Dashboards and Reports
Empowering End Users
Example Analyses: Communications
Identify customers that are likely to
churn
Compare billed and actual CDRs to identify
billing errors
Copyright © 2010, Oracle and / or its affiliates. All rights reserved.
Monitor dropped call rate over time to
detect failing network elements
Analyze sales growth over time by
product and organization
31
Exadata Intelligent Warehouse
Packaged Experience and Technology
Business Insight
Extreme
Performance
Fast Results
• Leverage enterprise data model for
Industries
• Gain insights using prepackaged
advanced analytics
• Improve query performance
10 -100x
• Grow solution to virtually any scale
• Jumpstart development and deliver
value quickly
• Lower risks
Copyright © 2010, Oracle and / or its affiliates. All rights reserved.
Exadata Intelligent Warehouse
Packaged Experience and Technology
Business Insight
Extreme
Performance
Fast Results
• Leverage enterprise data model for
Industries
• Gain insights using prepackaged
advanced analytics
• Improve query performance
10 -100x
• Grow solution to virtually any scale
• Jumpstart development and deliver
value quickly
• Lower risks
Copyright © 2010, Oracle and / or its affiliates. All rights reserved.
Custom Solutions
Key Implementation Tasks
• Assemble Hardware
• Install Specialized
Software
Design Data
Model
• Requirements
Collection
• ERD Specification
Assemble &
Configure System
• Define tables, views,
cubes, analytics
• Implement indexes,
partitions
Implement Data
Model
Tune
Performance
• Ensure system is
balanced
• Modify performance
structures (MVs,
indexes, etc.)
• Create BI metadata
• Implement reports
and dashboards
Define Metrics &
Reports
Challenges:
• Design a data model that satisfies existing and future requirements
• Employ a diverse skill set
• Integrate, implement, administer and tune disparate technologies
Exadata Intelligent Warehouse
Best Practice Implementation
ASSEMBLED
DESIGNED
IMPLEMENTED
FAST
READY
Sun Oracle
Database
Machine
Oracle Retail
Data Model
Oracle Best
Practice DW
Methodology
Sun Oracle
Database
Machine
Oracle OBIEE
Complete. Fast Results. Lower Risk.
Benefits:
• Utilize an enterprise data model for retail
• Leverage your existing Oracle expertise
• Implemented using Oracle data warehousing best practices
Fast Results
Retail Performance Metrics and Insight out of the box
Build from Scratch with
Best of Breed Approach
Oracle Exadata
Intelligent Warehouse
Training & Roll-out
Define Metrics & Dashboards
Data Integration
Training & Roll-out
Training & Roll-out
Analysis and Design
Define Metrics & Dashboards
Data Integration
Analysis and Design
Sizing and Configuration
Sizing and Configuration
months or years
weeks or months
Speed to Value, Simplified Deployment with predictable cost
Exadata Intelligent Warehouse Solution for Industries
Packaged Experience and Technology
Business Insight
Extreme Performance
Fast Time-to-Value
Summary: Oracle’s DW Strategy
•
•
•
•
Oracle as a Systems Provider: Database Machine
Maximum Leverage of Massive Hardware Capabilities
Embedded Analytics
Oracle as a DW Solutions Provider:
• Exadata Intelligent Warehouse for Industries