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Similaire à Big Data: Business Opportunities, Requirements and Approach
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Big Data: Business Opportunities, Requirements and Approach
- 1. 1 | © 2012 Oracle Corporation |
- 2. 2 | © 2012 Oracle Corporation |
- 3. 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.
3 | © 2012 Oracle Corporation |
- 5. Oracle Strategy
Open Systems Complete Stack
• Complete • Vertical Integration
• Open • Engineered Systems
• Integrated
• Best-in-Class
5 | © 2012 Oracle Corporation |
- 6. Engineered Systems I The Family
Exadata Exalogic Database Exalytics Big Data SPARC
Database Elastic Cloud Appliance Appliance SuperCluster
Machine
• Expedited time to value • Reduced change management risk
• Easier to manage and upgrade • One-stop support
• Lower cost of ownership • Extreme performance and reliability
6 | © 2012 Oracle Corporation |
- 7. Oracle Exadata Database Machine
One architecture for…
• Data Warehousing
• OLTP
• Database Consolidation
Exadata is Oracle’s strategic database
platform for ALL Oracle Database
workloads
7 | © 2012 Oracle Corporation |
- 8. Proven Success
Leading Brands Choose Exadata
8 | © 2012 Oracle Corporation |
- 9. Spectacular Customer Results
“Softbank created a warehouse up to 8x faster
while reducing costs 50%”
— Keiichiro Shimizu, Softbank
“Turkcell’s largest 250 TB DB is now only 27 TB
with Exadata Compression”
— Ferhat Sengonul, Turkcell
―Performance improved 17x with
no changes to our application‖
— Jim Duffy, BNP Paribas
9 | © 2012 Oracle Corporation |
- 11. Exadata Customers with SAP Applications
11 | © 2012 Oracle Corporation | Oracle Confidential and Proprietary Information
- 12. Exadata Growth
―Exadata is the fastest growing
product in Oracle’s history‖
- Oracle CEO, Larry Ellison
12 | © 2012 Oracle Corporation |
- 14. 14 | © 2012 Oracle Corporation | © 2012 Oracle Corporation
- 15. Exadata Architecture
A complete system: compute, storage, networking
• Database Grid
– 8x 2-socket, or 2x 8-socket database servers
– Oracle Linux or Solaris 11
– Oracle Database 11g, ASM, RAC
– 10 Gb and 1Gb Ethernet (to data center)
• Storage Grid
– 14 Intel-based storage servers
– Up to 504 terabytes raw disk per rack
– 5.3 terabytes Flash storage per rack
– Exadata Storage Server Software
• InfiniBand Network
– Internal unified connectivity ( 40 Gb/sec )
17 | © 2012 Oracle Corporation |
- 16. Complete Family of Database Machines
Oracle Exadata X2-2 Oracle Exadata X2-8
2, 4, and 8 (12 core) database nodes 2 (80 core) database nodes - 4 TB DRAM
Quarter
Half
Full, Multi-Rack
Full-Rack
Exadata models and configurations
span the full range of enterprise Multi-Rack
18 database deployments
| © 2012 Oracle Corporation |
- 17. Scale to 8 Racks by Just Adding Cables
2368 Compute Cores
2.6 Petabytes Uncompressed Storage
Supports Multiple Generations of Hardware
19 | © 2012 Oracle Corporation |
- 18. Exadata Storage Expansion Rack
Big Data for Less
• Expands storage capacity of existing Exadata
Database Machines
• Essentially DB Machine with DB Servers replaced by
more Storage Servers
• For Unbalanced Applications that need more space but
not more compute
– On-disk Backups of the Database Machine
– Historical or Archive Data
– File Data, LOBs, XML Data, Documents
Half the Price – Images, and other large unstructured data
per TB
20 | © 2012 Oracle Corporation |
- 19. Highly Optimized and Available
• Custom systems do not achieve full performance
– Component imbalance, misconfiguration, bottlenecks
• Exadata is engineered and optimized end-to-end
– DB libraries optimized with firmware, drivers, OS, network
– Years of tuning
– Warehouse queries need few or no indexes
– Exadata storage has NO tuning knobs
– Custom system do not achieve full availability
• Complex inter-component failures modes not tested
– Exadata handles all failure modes
• Node failure, link failure, storage failure, switch failure, etc.
22 | © 2012 Oracle Corporation |
- 20. Runs Existing Applications Unchanged
• Runs existing OLTP and DW applications
– Full 30 years of Oracle DB capabilities
– No Exadata certification required
– Leverages Oracle ecosystem – skills, people, partners
• Oracle database on next generation Grid platform
• Works transparently even for most complex
applications
– Oracle E-business suite, PeopleSoft, Siebel, SAP
23 | © 2012 Oracle Corporation |
- 21. Keys to Speed and Cost Advantage
Exadata Intelligent Exadata Hybrid Exadata Smart
Storage Grid Columnar Compression Flash Cache
24 | © 2012 Oracle Corporation |
Copyright © 2012, Oracle Corporation and/or its affiliates – 24 –
- 22. Improve Query Performance 10x
Exadata Smart Scans
Data intensive processing
runs in Exadata Storage
Select sum(sales)
where salesdate= Servers
What were ’12-Aug-2012’…
yesterday’s
sales? Rows and columns filtered
as data streams from disks
Filter Sales for
Aug 12 2012
10x reduction in data sent
to DB servers is common
Sum
Scales-out linearly
26 | © 2012 Oracle Corporation |
- 23. Extreme Performance for OLTP and DW
Exadata Smart Flash Cache
Full rack has 5 TB of Smart
Flash Cache
Can process up to 1.5 million
IOs per second
Triples data scan rate
27 | © 2012 Oracle Corporation |
© 2011 Oracle Corporation
- 24. Exadata SQL Data Throughput
75
Query Throughput
Gigabytes per Second
25
13 50,000 1,500,000 (I/Os per
10 12 IOPS IOPS second)
9.3
6
NetApp 6080 IBM XIV G3 IBM DS8800 Hitachi USP V EMC VMAX Exadata Disk Exadata Flash
20K
28 | © 2012 Oracle Corporation |
- 25. Exadata Smart Flash Log
Accelerate Transaction Response Times using Flash
Transaction Response Times
Default (on left)
- Choppy response Smart Flash Log Enabled
- High Outliers
Smart Flash Log
- 3x faster response
- Much lower outliers
• Automatic and Transparent
• Better response time and more throughput
• Uses almost no flash capacity (0.1% of capacity)
29 | © 2012 Oracle Corporation |
- 26. Reduce Data Warehouse Storage Requirements
Exadata Hybrid Columnar Compression
Data stored by column and
then compressed
10X Query mode for data
warehousing tables – runs
15-50X faster due to Exadata offload
Archival mode for old
rarely accessed data
30 | © 2012 Oracle Corporation |
© 2011 Oracle Corporation
- 27. Compression Benefits Multiply Across Stack
Storage Array
• 10x less Storage
Compression Achieves
a Fraction of Benefits
• 10x better Disk Bandwidth
• 10x more data in Flash Cache
• 10x more data in Database DRAM Cache
Test Dev DR • 10x smaller Test DB, Dev DB, DR DB
• 10x smaller Backup
31 | © 2012 Oracle Corporation |
- 28. Exadata Maximum Availability Architecture
Real Primary Active Data Guard /
Application GoldenGate
Clusters
ASM
WAN
RMAN / Fast Oracle Secure
Recovery Area Backup Dev/Test
Standby
Comprehensive protection from failures
Server – Storage – Network – Site – Corruptions
Active Disaster Recovery: Real-time standby open for query offload
Correction from human errors: database, table, row, transaction
Online indexing and table redefinition
Online patching and upgrades
32 | © 2012 Oracle Corporation |
- 29. Exadata Extreme Consolidation
• Extreme Performance
– Exadata excels at the inherently mixed and complex
workloads of a consolidated environment
– OLTP, DW, data mining, batch, reporting, loading,
backups, files in the database
• Large Memory
– 2TB per node X2-8 enables large scale consolidation
• Workload Management
– I/O and CPU resource management isolate workloads
Shrink data center costs, increase
system utilization and promote
application integration
33 | © 2012 Oracle Corporation |
- 30. Most Secure Database Machine
• Moves decryption from software to hardware
– Over 5x faster
• Near zero overhead for fully encrypted database
– Queries decrypt data at hundreds of
Gigabytes/second
• DB2, Teradata and Netezza do not have database
managed encryption
– Must code into every application module
34 | © 2012 Oracle Corporation |
- 31. P&G: DW and Mixed Workload
Faster Storage Simplified
Benefits Applications Savings Support
2 - 30X 3x – 10x
“Performance with Exadata is much better, and getting an
out-of-the-box solution dramatically reduced the time
Compression
and money to build and maintain our DW platform.”
- Brian Beckman, DW Platform Manager, Procter & Gamble
Business Objectives Exadata V2 Exadata X2-2 Exadata X2-8 Exadata X2-2
Data Warehouse Data Warehouse Data Warehouse OLTP/Analytics
• Improve stability and supportability Prod Non-Prod Prod DR Dev UAT Prod Non-Prod Prod Non-Prod
• Lower costs
• Boost performance
Solution Data Guard
• 2010: Implement 1ST DW on V2
• 2011: Move 2nd DW to X2-2,
Move OLTP/Analytics to X2-2
• 2012: Move 3rd DW to X2-8 • Trade/Mkt/POS Data • Shipments Data • Fin’l/Planning Data • Trade Fund
Management
35 | © 2012 Oracle Corporation |
- 32. U.S. Customs and Border Protection
Faster Storage Maximum Cost
Benefits Applications Savings Availability Savings
“Oracle Exadata has changed our strategic IT focus 10X speedup 1 Petabyte 99.95% 75% Cost
from building systems to developing and Reduction
supporting application services critical to the
fulfillment of our national security mission.”
32 billion
- Ken Ritchhart, Deputy Assistant Commissioner queries/day Replaced $$ SAN
Business Objectives Exadata V2 Exadata X2-2 Exadata X2-8
Primary/Standby Primary /Standby Primary/Standby
• Reduce cost and complexity
• Meet availability SLAs
• Extreme scalability Data Guard Data Guard Data Guard
• Consolidation
Solution
2010 2010 - 2011 2011 - 2012
• 2010: Implement V2, X2-2
• 2011: Add X2-2, X2-8
Automated Targeting Automated Export Passenger Enterprise Data
• 2012: Add X2-8, Exalogic Systems Systems Systems Warehouse
37 | © 2012 Oracle Corporation |
- 33. Garmin: OLTP Consolidation
Faster 99.95% 4x User Data Center
Benefits Month End Reports Uptime Growth Cost Savings
Up to 11X
“Oracle Exadata helped us meet our challenges by
enabling us to consolidate to a single footprint.”
- Ed Link, Vice-President IT, Garmin
Business Objectives Pre-Exadata Exadata V2 Exadata V2
12 Prod Servers DB Consolidation Dev/Test/Local Standby
• Add fault tolerance
• Reduce costs via
standardization
2012
• Simplify support model
Data Guard
• Performance & Scalability
• Oracle E-Business Suite High-Capacity
Solution • Advanced Supply-Chain Exadata Storage
• 2012: Consolidate 12 servers Planning Servers
onto two Half-rack Exadata • Hyperion Reporting • 5 Prod • Archived • Tape backup
V2 systems • Garmin Connect custom app Databases Data
38 | © 2012 Oracle Corporation |
- 34. Oracle Beehive: Collaboration
Capacity for Faster 100%
Benefits Growth Response Uptime
5x – 60x
“[Beehive] is our largest application in-house. It is
Oracle’s largest backend database.”
- Campbell Webb, Vice-President IT, Oracle
Business Objectives Exadata V1 Exadata X2-2 Exadata X2-2
• Company-wide collaboration for Storage Servers Production Standby
> 100K users Austin (Texas) Data Center Utah Data Center
• CPU/ storage growth 3+ years
• Improved response times 2011 Data Guard
• Guarantee uptime
Solution • 96 V1 storage servers • 9 full-rack X2-2 • 9 full-rack X2-2
• 2009: Move Beehive storage to • Post-Sun acquisition, • 2.3 Petabytes raw disk • Triple mirroring
Exadata V1 storage CPU and disk • 48 TB flash • Disk backups/flashback enabled
oversubscribed
• 2011: Migrate to Exadata X2-2 • > 5,000 peak TPS • 100% uptime since go-live
40 | © 2012 Oracle Corporation |
- 35. Enterprise Manager 12c
Integrated H/W + S/W management for Exadata
• Hardware view
• Schematic of cells, compute nodes and
switches
• Hardware components alerts
• Software/system view
• Performance, availability, usage by
databases, services, clusters
• Software alerts db, cluster, ASM
• Topology view of DB systems/clusters
• Configuration view
• Version summary of all components
along with patch recommendations
41 | © 2012 Oracle Corporation |
- 36. Oracle Platinum Services
Highest Level of Service in the Industry
• 24/7 Oracle Monitoring for Database,
Middleware and Systems
̶ 5 Minute Fault Notification
̶ 15 Minute Restoration or Escalation
to Development
̶ 30 Minute Joint Debugging with Development
• Quarterly Patching
• Requires Oracle Support Connectivity to
Customer System
• No Additional Cost
43 | © 2012 Oracle Corporation |
- 37. Maximize the Value of Enterprise Big Data
Engineered Systems for Big Data
ACQUIRE ORGANIZE ANALYZE DECIDE
45 | © 2012 Oracle Corporation |
© 2011 Oracle Corporation
- 38. Oracle Exadata In-Memory Database
Best I Disk, Flash, Memory
Technology Size Cost/TB Throughput
D-RAM Disks 336 TB 1 25 GB/sec
HR Flash 5 TB 10x 50 GB/sec
EDW DRAM 2 TB 100x 200 GB/sec
CRM
ERP • Cost of Disk, IOs of Flash, Speed of DRAM
Flash
• All data stored on DISK
Supply • Warm data cached in FLASH
Chain Data
Mart • Hot data cached in DRAM
• Optimal Price-Performance
Disk
46 | © 2012 Oracle Corporation |
- 39. Exadata Evolution
• Sparc SuperCluster
• 3TB Disks
State-of-the-Art, • Storage Expansion Rack
Scale-out Hardware • X2-8 CPU Refresh
• 2TB DRAM per node
• X2-2 CPU Refresh
• X2-8 64-core Servers
• Smart Memory Scan
• X2-2 CPU Refresh
• Parallel Memory Affinity
• 40 Gb InfiniBand
• Enterprise Manager 12c
• Exadata • PCI Flash Cards
Introduced
• Solaris x86
• Reverse Offload
• Smart Flash Logging
• Hardware DB Encryption Unique Software
• Automatic Service Request Integration
• Smart Flash Cache • Data Mining Offload
• Storage Index
• Smart Scan • Columnar Compression
• InfiniBand Scaleout
2008 2009 2010 2011 2012
47 | © 2012 Oracle Corporation |
- 40. Exadata Software Roadmap
• Performance
– In-memory optimized compression
– Memory-to-memory Infiniband messaging
– Flash for all writes – 10x more write I/O’s for write-heavy OLTP
– Map-Reduce for customer big-data analytics
• Better Private Cloud Consolidation
– Database Platform for Oracle Public Cloud
– Virtualization of database servers
– Oracle Database 12c Pluggable Databases
• Many Management and Robustness Improvements
48 | © 2012 Oracle Corporation |
- 41. The Exadata Difference
Exadata DB Machine Custom Configuration
Storage scans & filters data Storage just ships blocks
Storage offloads DB* DB-unaware storage
168
CPU Flash caches relevant data No DB-aware flash management
cores in
40 Gb/sec network 8 – 10 Gb/sec network
storage
Pre-built for DB workload Assembled by customer
Redundancy built-in Build-your-own HA
Compression built-in Compression optional
Workload mgmt built-in Workload mgmt optional
* Backups, compression, decryption, data mining
Exadata is not a general-purpose system, It’s
a Database Machine
49 | © 2012 Oracle Corporation |
- 42. 51 | © 2012 Oracle Corporation |
- 43. 52 | © 2012 Oracle Corporation |