2. Oracle Database 11g Overview
Gary Quarles
Sales Consultant

3. Oracle Database 11g Major new release of Oracle functionality
In Beta since September 2006
Production expected in 2007
Furthers the adoption of Grid Computing
Benefits
Unique scale-out technology with single database image
Lowers server and storage costs
Increases availability and scalability
Disruptive technology
Changes the game for the database industry
Changes the way data centers look and operate
Currently in rapid adoption phase

4. Sustained Innovation – Grid Computing
SMP Dominance
Grids of low cost hardware and storage
RAC Clusters for Availability
9i RAC cache fusion
10g – rac, asm, grid control, 10gR3 GC gold image provisioning of rac/cw/linux, single click rac add/drop node
11g – expand to midtier – services across stack, every unit of work tagged with service, SLA policies (perf – svc or user within svc response time, avail – driven by hi cpu utilization or failure - signal across tiers when node failure or other important event occurs and move work from one node to another or add node to RAC (supercluster), retention via USM – fast stg then low cost stg then delete - Nashua) from app to fmw to db to stg
Usm
install

5. Well Proven Scalability
RAC 8+ node customers
Citigroup
Burlington Coat Factory
J2 Global Communications
Genworth Financial
Amazon.com
MSDS
Mercado Libre
Yahoo! Overture
Babcock Engineering
Ordnance Survey
Dell
Yahoo!
SAIC
Fairmont Hotels
ADESLAS
Evite.com
Quelle AG
Telstra
Gas Natural
MyTravel
Thompson
AOL
Vivo
Sagawa Kyubin

6. Example: Amazon Data Warehouse
16 Node RAC Linux Cluster
4 CPUs per Node
51 TB row data
71 TB of disk space
RAC and ASM
Pure Scale-Out architecture
Both server and storage layer
In top ten largest Warehouses in Winter Survey
50x growth in data in 6 years
More than doubled in last year
8 SAN switches, 32 port each
Switch
Switch
Switch
84 HP MSA-1000 Arrays

7. Benefits Achieved Data Center 1 Data Center 2
Scalability - Easily Expanded Original 10 Node Cluster to 18 Nodes
Improved Availability
Disaster Tolerance with Dataguard
Better Performance - Large Queries – 50% Faster
Easier, Less Disruptive Storage Changes with ASM
Significant Cost Savings, Better IT Productivity
18-node cluster IBM x-Series
Oracle RAC 10gR2
IBM xSeries – SUSE Linux
Data Center 1
Data Center 2
Standby for SKU 5-8 DBs
Standby for SKU 1-4 DBs
SKU 3 DB
SKU 6 DB
SKU 1 DB
SKU 5 DB
BCF has demonstrated that it is possible to create an entirely new architecture and migrate several production databases to an entirely new cluster and database release very successfully over a short period of time.
Business benefits offered by the new “Grid” RAC architecture include:
increased application availability (attributed in part to ASM – no need to take databases offline to add disks)
Lower costs (Linux, commodity hardware instead of SMP systems, easier maintenance and DBA productivity – managing 2 clusters, not five)
High Availability’ has improved as load is spread out rather than up – ‘fail-over’ is proven (load moved from node x to node y with minimal/no impact to users or remaining nodes).
For example, we had to perform h/w maintenance and we able to do them during the day by bringing up another instance on a spare node and moved some clients over. Some we moved over and some we had to wait for them to go away.
Improved workload mgmt: Dedicated nodes for application functional components has reduced contention – improving response. – Services are used lightly with SQL Net aliases. Intend to move to services soon.
Storage Management has improved dramatically via consolidating clusters and using ASM
Disks easily added or removed as required –with ASM rebalancing after a disk failure is completely seamless
ASM striping has eliminated disk hot spots created by bad disk layout - tuning and locating hot spots is no longer an issue. Application induced disk hot spots where there are certain rows that are severely contended for still remain…beyond scope of ASM.
Multiple tiers of storage - SAN, SATA etc can be used simultaneously
Greater maintainability - no need to take the database offline to perform disk maintenance
I/O distribution spread evenly across all available disks automatically
DBA staff more productive - with GRID control DBA can manage all databases through a Web based interface
Fewer sleepless nights for DBAs
Our current setup is 2 18 node clusters in each dc.
IBM x series with a mixture of 4 CPUs and 2 CPUs and 8 G of memory
About half of our current databases run on each cluster and are dataguarded on the other. 3 nodes on each cluster are dedicated to dataguard and backups.
New envrionment for the SKU databases supports 12 concurrent users per node with 300 connecting each day. Not heavy workload but extremely reliable and available.
SKU 4 DB
SKU 8 DB
SKU 2 DB
SKU 7 DB
Oracle ASM – Two diskgroups, one SAN, one SATA
Dataguard

8. Mark Beyer, Gartner December 2006
“Oracle customers are highly satisfied with its Real Application Clusters and Automatic Storage Management when pursuing scale-out strategies.”

9. Business and Technology Status 2007
Global economy is more dependent on IT than ever before
Information management is THE major mission of the enterprise
Organizations are being pushed to ADAPT quickly to change
Economic, Technologic, Regulatory
“At least two-thirds of all IT spending is just to sustain the business, not to change or transform the business.”
- Gartner Group
This slide and the next few create the business context in which Oracle Database 11g will enter the market. These three high-level bullets are major factors that influence decision makers going forward.
The fact that the economy is now truly global in nature and that it depends entirely upon the fast, accurate and most importantly, available flow of information is now a fact for every one of our customers. Because of this the very notion of availability, how much it costs and how reliable it is.
The second bullet means that organizations must now be thinking about managing information, and not just structured information. That because information is so important to their ability to survive as a company, they need to begin to think about moving the management discussion up the stack and away from the traditional low-level technology tiers. Information is what they need to be managing NOT technology. This is why they need an information infrastructure that is self managing
The last bullet is the most important as it is the theme for 11g. Because the global economy is so dependent on IT and the management of information, winners and losers are determined by how efficient and adaptive that information infrastructure is. Non-adaptive infrastructure leads to huge costs in simply “keeping the lights on”. Every business may not need terabyte scalability or 5 nines availability but they all need to adapt to change and their IT systems need to also adapt quickly. But adapting means change and change means instability. 11g changes this notion.

10. Oracle Database11g Big Message
Increases business and IT agility and lowers overall costs!
Enables change to happen while maintaining stability!
Takes management and diagnostic automation to the next level!
Freeing key personal for higher value tasks!
Simplifies your information infrastructure!
Provides the least expensive, most scalable, secure and highly available information management and rapid application development environment!
The big message is that 11g is something completely new in that it lowers your costs while lowering the risk of change

11. Enabling Change While Maintaining Stability
Make Change Safe
Enabling Change While Maintaining Stability

12. Barriers to Change
Proactive testing of upgrades is time consuming, costly, and often not as effective as needed
Upgrades still risk disruption of production systems
Many upgrades still require significant downtime
Still have to endure potentially long period of instability as bugs are found and fixed
DBAs are asked to do too much to help, e.g., diagnostic patches that require more downtime
Software vendors take too long to fix bugs

13. Database Replay

14. The Need for Database Replay
Businesses want to adopt new technology that adds value
Extensive testing and validation is expensive in time and cost
Despite expensive testing success rate low
Many issues go undetected
System availability and performance negatively impacted
Cause of low success rate
Current tools provide inadequate testing
Simulate synthetic workload instead of replaying actual production workload
Provide partial workflow coverage
Database Replay makes real-world testing possible

15. Database Replay
Replay actual production database workload in test environment
Identify, analyze and fix potential instabilities before making changes to production
Capture Workload in Production
Capture full production workload with real load, timing & concurrency characteristics
Move the captured workload to test system
Replay Workload in Test
Make the desired changes in test system
Replay workload with full production characteristics
Honor commit ordering
Analyze & Report
Errors
Data divergence
Performance divergence
Oracle Database 11g provides two specific solutions to these aforementioned challenges.
Database Replay allows you to test the impact of a system change by replaying real-world workload on the test system before it is exposed to a production system. The production workload (including transaction concurrency and dependency) of the database server is recorded over an illustrative period of time (for example a peak period). This recorded data is used to replay the workload on a test system that has been appropriately configured. You gain a high degree of confidence in the overall success of the database change by subjecting the database server in a test system to a workload that is practically indistinguishable from a production workload.
Analysis & Reporting

16. Database Replay: Supported Changes
Client …
Changes Unsupported
Middle Tier
Changes Supported
Database Upgrades, Patches
Schema, Parameters
RAC nodes, Interconnect
OS Platforms, OS Upgrades
CPU, Memory
Storage
Etc.
Recording of External Client Requests
Database Replay focuses on recording and replaying of the workload that is directed to the RDBMS. Therefore recording of the workload is done at the point indicated in the above diagram. Recording at the RDBMS within the software stack makes it possible to exchange anything below this level and test the new setup using the record and replay functionality.
While replaying the workload, the RDBMS performs the actions observed during recording. In other words, during the replay phase the RDBMS code is exercised in a very similar way as it was exercised during the recording phase. This is achieved by recreating all external client requests to the RDBMS. External client requests include all the requests by all possible external clients of the RDBMS.
Storage

17. Comparison of LoadRunner & DB Replay Testing e-Business Suite80 24 20 20 5 4 2 5
Total Testing Time
DB Replay: 2 weeks
LoadRunner: 30 weeks

18. Why DB Replay? From: To: 150 Days Artificial workloads
Production workloads
Partial workflows
Complete workflows
Months of development
Days of development
Manual intensive
Automated
High risk
Low risk 10
Days

19. Database Replay Workflow
Production ( )
Test (11.1)
Clients …
Replay Driver
Mid-Tier …
Storage
Database Replay enables realistic testing of system changes by essentially recreating production environment on a test system. It does this by capturing a workload on the production system and replaying it on a test system with the exact timing, concurrency, and transaction characteristics of the original workload. This makes possible complete assessment of the impact of the change including undesired results such product defects, new contention points or performance regressions. Extensive analysis and reporting is provided to help identify any potential problems, such as new errors encountered and performance divergences.
As a result, businesses can have a high degree of confidence in the overall success of the system change and can significantly reduce production deployment risk.
Replay entire workload with production timing & dependency
<5% performance impact to system during capture
Test any changes from database tier and below, including migration to RAC
Test system does not require mid-tier
Can capture from and replay in 11.1 database release
Storage
Capture
Process
Replay
Analysis &
Reporting

20. Make Change Safe Major online upgrade enhancements
Online database upgrades for Data Guard Physical Standby
Physical Standby is Data Guard’s high performance disaster recovery solution
Uses new Transient Logical Standby feature for online upgrades
Online Database Patching
For most one-off patches including diagnostic patches

21. Automate Still More Administrative Functions
Freeing key personal for higher value tasks!

22. Why Automate? Free key personal for higher value tasks!
Increased DBA productivity
Reduce risk of DBA errors
Dramatically increase the QOS DBAs deliver
More proactive management and planning
Continual optimized performance
Higher availability

23. Long Term Project Goal: Automate all administrative functions
Over three releases
Begun in Oracle9i
Major focus in Oracle Database 10g
Continued major focus in Oracle Database 11g
Three step process
Instrumentation – lays measurement infrastructure
Advisory – monitors the administrative function, identifies sub-optimal behaviors, alerts DBA to problems, and advises on corrective actions
Automation – gives DBAs the option to turn on full automation

24. Self Managing Database
Auto-Tuning
Advisory
Schema
Storage
Backup
Memory
Apps/SQL
RAC
Recovery
Replication
Instrumentation

25. Self Managing Database
Auto-Tuning
Advisory
Schema
Storage
Backup
Memory
Apps/SQL
RAC
Recovery
Replication
Instrumentation
Adaptive auto-tuning, Integrated advisory, Low-impact instrumentation
Schema – 11g adds partition advisor to index and materialized view advisor
RAC – finish ADDM
Recovery – data repair advisor
Replication – streams performance advisor

26. Self-Diagnostic Engine
ADDM for RAC
AWR 1
AWR 2
AWR 3
Inst 2
Inst 3
Self-Diagnostic Engine
Database-Level ADDM
11g
Instance-Level ADDM
Automatic Database Diagnostics Managers (ADDM) for Real Applications Cluster (RAC)
RAC expert in a box
Identifies performance problems for the entire RAC cluster database
Database-wide analysis of:
Global cache interconnect issues
Global resource contention, e.g. IO bandwidth, hot blocks
Globally high-load SQL
Skew in instance response times
Inst 1

27. Auto Capture High-Load SQL
Automatic SQL Tuning
Automatically captures high-load SQL
Automatically tunes SQL by creating SQL Profiles
Automatically implements (optional) greatly improved SQL plans
Automatically reports analysis
Automatically runs during maintenance window
Packaged Apps
Custom Apps
Auto Capture High-Load SQL
Nightly
Automatic SQL Tuning
SQL Profiles
SQL Analysis
Automatic implement
Report
Manually implement
Well-tuned SQL

28. Partitioning Advisor
Packaged Apps
Custom Apps
SQL Workload
Considers entire query workload to improve query performance
Advises on partitioning methods
Range (equal-interval), range key and interval
Hash, hash key
Integrated, non-conflicting advice with Indexes, MVs
Partition
Analysis
Advice
New!
SQL Advisor
SQL Plan
Tuning
SQL Structure
Analysis
Access
Analysis
SQL Profile
SQL Advice
Indexes & MVs
Well-tuned
SQL & Schema

29. Automatic Memory Tuning
Automatically adapts to workload changes
Maximize memory utilization
Single dynamic memory parameter
Helps eliminate out-of-memory errors
OS Memory
OS Memory
DB Shared Memory
DB Shared Memory
DB Process Memory
DB Process Memory

30. Simplify Systems
Simplify Your Information Infrastructure For Maximum Agility and Lowest Cost!

31. Old Pre-Grid Infrastructure
DSS
Standby HR
Standby
Finance
Standby

32. The Cost of Same Old Approach
Poor Resource Utilization
Built for peak periods
Gartner estimates average server utilization rate at 5-10%!
Standby hardware and software costs virtually double the investment and further reduce useful utilization
Management happens in silos
Uneven process maturity across managed silos
Availability, security, performance
Increased staff
Proliferation of tools that have overlapping capabilities
Software patching/testing, upgrade tasks are multiplied
Increases information complexity and lowers agility
More data movement required (i.e. increased latency, increased storage, increased integrity issues)

33. Oracle Database 10g Database GridHR
Financials
DSS
Consolidate Workloads to a Single…

34. Oracle Database 10g Storage GridHR
Financials
DSS
Automatic
Storage Management
Low Cost Module Storage
Monolithic Storage

35. Oracle Database 11g Data Guard
Fundamentally changes the value of redundant infrastructure
Can now use Physical Standby for:
Reporting
Read only Physical Standby
Online Upgrades
Transient Logical Standby
Testing
Snapshot Stanby
Backups
Fast incremental backups
Major performance enhancements too

36. Oracle Database 11g SecureFiles
Eliminates need for file systems
Just as fast as file systems with all the capabilities of the Oracle Database
Store all your data in the database with one consistent:
Security and auditing model
Backup & recovery mechanism
Storage management mechanism (ASM)
Transaction and concurrency model
Interface and protocol
Value added services like encryption, compression, and de-duplication

37. Oracle Database 11g Partitioning
Major New Partitioning Enhancements
One consistent way to manage all your data
Not just for data warehouse and high-end OLTP any more
New referential, virtual column, composite, and interval partitioning features bring partitioning to mainstream
Easier management of today’s rapidly growing datasets
Improved performance
Partition elimination speeds table scans
Reduced costs
Automatically place less used data on lower cost storage

38. Oracle Database 11g Partitioning
Major New Partitioning Enhancements
Partition by parent / child reference
e.g., partition orders and order_lines together
Virtual column partitioning
e.g., partition on “virtual” order status “active”, “less active”, etc. derived from multiple status fields in order record
More composite partitioning options
List/Range, Range/Range, List/Hash, List/List
e.g., Order Status/Month, Month/Day
Automatic interval partitioning
e.g., create new partition every month
Single partition transportable tablespace

39. Oracle Database 11g Flashback Data Archive
Easy, practical way to add “time dimension” to your data
For change tracking, ILM, auditing, compliance, …
Query data “AS OF” any time in the past
Efficient storage / retrieval of undo data
Fast query access to very old data
Can specified retention policy to automatically purge old data
ORDERS
User Tablespaces
Flashback Data Archive
Archive
Tables
Changes
Select * from orders AS OF ‘Midnight 31-Dec-2003’
Total Recall

40. Flashback for Rapid Recovery from Human Error
Flashback Query
Flashback Tables
Flashback Database
Flashback Data Archive and Transaction
Flashback Data Archive:
Automatically stores all changes to selected tables
Archive cannot be modified
View table as of any time
Uses:
Change Tracking
ILM
Long term history - years
Auditing
Compliance

41. Major New Performance Innovations
Enhance Performance
Major New Performance Innovations

42. Advanced Compression in Oracle Database 11g
[wh]
The volume of data being generated and retained by businesses has seen an exponential growth in the last few years. And we not only have more data to manage, we’re also challenged with keeping the cost of storage down without impacting the performance or availability of our database applications
Hi, I’m Willie Hardie from Oracle Database Product Marketing.
Over the next 10 minutes, we’ll be discussing with our expert – Sushil Kumar from Oracle Database Server Technologies –how advanced compression capabilities in Oracle Database 11g helps us reduce our storage costs
[next slide]

43. Storage Challenges Volume of managed data has exploded recently
Government regulations (Sarbanes-Oxley, HIPPA, etc)
User generated content (Web 2.0)
Mass adoption of rich multimedia content (audio, video, etc)
IT managers expected to reduce technology budgets
Need to optimize storage consumption
Also maintain acceptable application performance
[wh]
Sushil can you kick us off by examining some of the factors contributing to growth in data volumes and the challenges we’re facing?
[sk]
On average, business data is growing by 2-3 times every couple of years thanks to a variety of factors such as government regulations that mandate storing historical data for a certain number of years, massive amount of user generated content through web 2.0 applications and increasing adoption of multimedia content – enabled in turn by growing penetration of broadband technologies. Consequently, terabytes sized database – that were a novelty in the past – have becomes commonplace these days. A key challenge before enterprises today is how to manage this enormous volume of data in a cost effective manner as they typically have limited IT budgets. On a more technical level, there is also an associated challenge of ensuring the application performance does not degrade unacceptably while accessing this enormously large volume of data.

44. Introducing Advanced Compression
Advanced compression in Oracle Database 11g
Structured data compression
Unstructured data compression
Compression for backup data
Network transport compression
Reduces resource requirements and costs
Storage System
Network Bandwidth
Memory Usage
Backups
Redo Logs
Standby
[wh]
This brings us to compression technologies. The most prominent benefit of compression of course is reduced storage consumption. How does Oracle Database 11g help us here?
[sk]
Compression technology also needs to be highly efficient and intelligent before it can be used with enterprise applications in view of their demanding performance and scalability requirements.
Oracle database 11g introduces a comprehensive set of technologies to address these challenges. Thanks to a number of innovative technology offering introduced in this release, customers can compress any type of data – be it simple number and text traditionally stored in the database a.k.a structured data, or unstructured data such as documents, images, multimedia, etc or data being backed up. In addition, Oracle database 11g can also compress some of network traffic. Together these compression technology maximize the efficiency of resource utilization and reduces overall resource requirements and costs.

45. Structured Data Compression For OLTP and Data Warehousing Applications
Oracle introduced table compression in Oracle9i Database
Support for bulk load operations
Oracle Database 11g extends compression for OLTP data
Support for conventional DML Operations
Support for add/drop columns on compressed tables
Significantly reduces disk space consumption
Typically 2 to 3x
Improves the performance of queries
Up to 2x performance improvements for long running queries
No uncompression required while reading compressed data
Completely transparent to applications
[wh] Oracle first introduced compression in Oracle9i Database, what’s new in Oracle Database 11g?
[sk] We pioneered compression technology when we introduced table compression for bulk load operations in Oracle9i. Using this feature, customers can compress data at the time of doing bulk load using operations such as DIRECTLOAD, CTAS, etc. However, until now, compression was not available for regular data manipulation operations such as INSERT, UPDATE and DELETES. In Oracle database 11g, we have extended the compression technology to support these operations as well. Consequently, compression in Oracle Database 11g can be used for all kinds of workload – be it OLTP or DW.
[wh] So with regard to compressing the more traditional structured data, what’s the impact on our database applications?
[sk] An enormous amount of work has gone into making sure that advanced compression in Oracle Database 11g does not impact the performance of transaction processing applications. As a result, compression in Oracle database 11g can reduce space consumption up to 2 to 3 times. And, while you reduce storage, your write performance does not degrade and read performance improves. This is because our technology reads the compressed data directly and does not require any uncompression. Now, the question is how does query performance improve. It does so because we need to fetch less data to answer a query due to compression. Another advantage of fetching less data to satisfy a query is that we can now use the memory used to buffer the data read from disk more efficient thereby maximizing the memory utilization efficiency.
Finally, our compression technology is completely application transparent. That mean that you can use this technology with any home grown or packaged application such as SAP, Siebel , EBS, etc.

46. Unstructured Data Compression Oracle SecureFiles
New feature in Oracle Database 11g
Secure, high performance, storage optimized solution
Documents, spreadsheets, images, multimedia, etc.
SecureFile Compression
Automatically determines if SecureFile data is compressible
2 to 3x compression for typical files
Industry standard compression algorithms
Multiple compression levels optimize performance & space
[wh] So we can expect to reduce storage and improve performance of our database applications, but what about compressing unstructured data like docuemennt and spreadsheets?
[sk] Another major innovation in Oracle Datavbase 11g is called SecureFiles. It is a new high performance and powerful infrastructure to store unstructured contents such as document, spreadsheet, images, etc inside a database. For those out there who may be familiar with LOB data type which has existed for a while now, you can think of it as a next generation LOB implementation with a performance comparable to file systems and a whole bunch of other leading edge features found in modern file system. One such feature is compression. Which means that you can not only store your docs and images inside a database to get obvious advantages like transaction consistency, better security, seamless scalability using technologies like Real Application Cluster and Partitioning without sacrificing performance, you can do so with a lot less disk space as SecureFiles can automatically compress your unstructured data reducing your overall disk space requirements, typically by 2 –3 times. We use industry standard compression algorithm to provide our customers best of available technology. In addition we give you flexibility of optimizing disk space vs . CPU consumption trade off by offering a choice of several different compression levels.

47. SecureFile De-duplication
Multiple copies of identical SecureFiles are stored once
Faster performance for writes and copy operations
May improve read performance
Huge reduction in disk space usage
Great for document management, archiving etc.
Secure hash
[wh] A common challenge we have with filesystems is wasting space by storing multiple copies of the same document or spreadsheet all over the place?
[sk] We have a solution for that as well. Deduplication is another SecureFiles feature which allows Oracle database 11g to store a single image of duplicate content. So, if we have document management system where several users have stored their own copies of a given document, Oracle database 11g will only store a single copy of the document internally yet at the same time providing users the illusion of having their own copies.This not only reduces the space requirements, it also improves the performance of the write and copy operations. In certain cases where the unstructured data is cached in memory, it can also improve read performance – once again because we need to fetch less from disk to return a query.

48. Backup & Network Data Compression
Data Pump compression
Compresses data unloaded from the database
Single step compression of both data and metadata
Fast Recovery Manager (RMAN) compression
40% faster backup compression
Data Guard network compression
Compression of redo traffic over the network during redo gap resolution
Improves redo transport performance
Gap resolution is up to 2x faster
[wh] And once we’ve compressed our tables, that reduction in storage requirements will cascade through to backups and standby databases, etc. What other compression capabilities are available with Oracle Database 11g?
[sk] Oracle database 11g also contains a number of other useful compression techniques. It is now possible to compress data unloaded by datapump. Similarly, our integrated backup tool RMAN provides a new faster compression alogritham that can speed up backups by up to 40%. Finally, Data Guard – our premier disaster recovery solution - can now compress the data sent over the network while resolving gaps in the data sent from the primary to the disaster recovery site, thereby speeding up the gap resolution process by almost 100%.

49. Advanced Compression in Oracle Database 11g
Comprehensive set of data compression capabilities
Structured, unstructured, backup, network transport
Reduces storage consumption by 2 – 3 times
Savings cascades into test, dev, QA, backup, DR environments
Improves application performance
Enhances memory and network efficiency
Complete application transparency
Benefits diverse application workloads
Transaction Processing
Data Warehousing
Content Management
[wh]
Thanks Sushil
In summary, we have learned that Oracle Database 11g offers a compelling set of compression technologies to help customers deal with data explosion in a cost effective manner without compromising application performance.
Advanced Compression in Oracle Database 11g not only reduces disk space requirements for all types of data, it also improves application performance, enhances memory and network efficiency and can be used with any type application without any application changes. We are very excited about this latest innovation in Oracle Database 11g that will help customers manage large volumes of data in the most cost effective manner.

50. Major New Performance Innovations
SecureFiles
New generation LOBs just as fast as files
Table Compression
Now for OLTP as well as DW applications
Next Generation RAC Cache Fusion
Even more scalable
Query Results caches
Fast caching of query/function results for read-mostly data

51. Major New Performance Innovations
TimesTen
Application tier in-memory database gets even more compatible with Oracle, more functional, and faster
And much more …
Faster Data Guard and Streams replication
Faster PL/SQL and Java (automatic native compilation)
Faster triggers
Faster simple SQL operations
Faster NFS storage access (AutoNFS)
Faster upgrades
Faster backup/restore for large files
Faster backup compression

52. Enrich Information Management and Application Development
Across the board improvements in information management and application development tools

53. Information Management Highlights
Security
Transparent tablespace and LOB Encryption
Business Intelligence
OLAP integration with materialized views
Simplified Data Mining
Integration
Faster Gateways
New mainframe Gateways
Distributed Scheduler
XML DB
Binary XML storage
Enhanced XML indexing
Schema evolution
interMedia
Comprehensive DICOM medical imagery support
3X faster image processing
Spatial
3D support
Improved maps

54. Application Development Highlights
PL/SQL
Automatic compilation
Java and JDBC
Automatic JIT compilation
“Like JDK” ease of use
Windows and .NET
Vista support
Windows backup (VSS)
PHP
Database Resident Connection Pool
Application Express
Microsoft Access application migration
Reporting – BI Publisher
Flash charting
Declarative “Ajax” support
WYSIWYG editing
SQL Developer
Version Control
Visual Query Builder
Migration Workbench integration

55. Other Oracle Database 11g Highlights
High Availability
Snapshot Standby
Logminer, Physical Standby, Streams support for XMLType, TDE
Fast Start Failover with Async Propagation
Flashback Transaction
One step duplicate DB or create standby over the network
Security
Secure By Default
Comprehensive Enterprise Manager support
Business Intelligence
PIVOT/UNPIVOT operators
Automatic Storage Management
Rolling upgrades
Automatic bad block repair
Fast disk array resync
Preferred read for geo clusters
Manageability and Diagnosability
Automatic Health Monitoring
PL/SQL
Fine-grained dependency tracking
Dynamic SQL enhancements
Performance analysis aids
Content Management
Storage & Query of Semantic Content (RDF, OWL)
Secure Enterprise Search connectors
Text improvements

56. Q
&
Q U E S T I O N S
A N S W E R S A