<Insert Picture Here> Oracle 11g Introduction for Release 2

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1 <Insert Picture Here> Oracle 11g Introduction for Release 2 David Foster Master Principal GRID Technologist

2 Free Front Office Back Office Oracle Database 11g Release 2 Dynamic Cluster Partitioning via Server Pools App Servers DW RAC One Server Pools Dynamically assigns the server resources required to run specific workloads Both Application and Database Pools Policy Managed Min and Max Servers Relative Importance Unassigned Servers go to Free Pool

3 Oracle Database 11g Release 2 Example: Server Pool Front Office Back Office Free App Servers Server Pool Min Max Imp App Servers Front Office Back Office DW Free 4 0 DW RAC One

4 Oracle Database 11g Release 2 Dynamic Cluster Reconfiguration for High Availability Front Office Back Office Free App Servers If a server pool falls below its minimum the cluster reconfigures DW RAC One

5 Free Front Office Back Office Oracle Database 11g Release 2 Dynamic Cluster Reconfiguration for High Availability App Servers DW If a server pool falls below its minimum the cluster reconfigures Moves a server from A server pool that is less important A server from pool with the same importance with more servers than its min RAC One

6 Oracle Database 11g Release 2 Simplified Provisioning Front Office Back Office Free mycluster.myco.com App Servers DW RAC One New intelligent installer 40% fewer steps to install RAC Nodes can be easily repurposed Network and storage information read from profile and configured automatically No need to manually prepare a node. Nodes can be dynamically added or removed from the cluster SCAN - Single cluster-wide alias for database connections Clients need not be aware of cluster configuration changes

7 Oracle Database 11g Release 2 Better Virtualization for Databases Front Office Back Office Free App Servers DW RAC One RAC One extends benefits of server virtualization to singleinstance databases on physical hardware Consolidation Live Migration Rolling Patches Server failover Standardized DB environment Online upgradeable to full RAC

8 RAC ONE A RAC ONE B RAC ONE C RAC ONE D RAC ONE E RAC ONE F RAC ONE G RAC ONE H RAC ONE I RAC ONE J RAC ONE K RAC ONE L Free Front Office Back Office Oracle Database 11g Release 2 Resources protected with Oracle Clusterware App Servers SOA IMDB OC4J APACHE New agents for IMDB Cache, Hyperion, Siebel Resource Dependencies can be specified Hard / Weak/Attraction / PullUp / Dispersion DW

9 EM Grid Management EM is able to manage the full stack, including Oracle Clusterware Manage and monitor clusterware components Manage and monitor application resources Automatic discovery of targets as the join the cluster Support for ACFS ASM Configuration Assistant (ASMCA) for ASM and ACFS This presentation is for informational purposes only and may not be incorporated into a contract or agreement.

10 ADDM for RAC Instance-Level ADDM Inst 1 Database-Level ADDM 11g Self-Diagnostic Engine Inst 2 Inst 3 AWR 1 AWR 2 AWR 3 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 Runs proactively every hour when taking AWR snapshots (default) This presentation is for informational purposes only and may not be incorporated into a contract or agreement.

11 Cluster Interconnects Page This presentation is for informational purposes only and may not be incorporated into a contract or agreement.

12 Cluster Health Manager Root Cause Analysis at Cluster and System Level Proactively analyze cluster state and health Root cause analysis Predict failures Prevent failures Future: Automatically and proactively repair issues This presentation is for informational purposes only and may not be incorporated into a contract or agreement.

13 Oracle Database 11g Release 2 Simplified RAC Provisioning Automatic checking for pre-requisites Integration of Cluster Verification Utilities in Installer Zero config add node/re-purpose Database server nodes automatically discover peers and negotiate services, e.g., network addresses Easy downgrade of Oracle Clusterware Oracle Clusterware can be restored from old homes Easy node reuse Clean de-install Re-imaging not required This 2009 presentation Oracle Corporation is for informational Proprietary purposes and Confidential only and may not be incorporated into a contract or agreement.

14 How do you get there? Rapid Grid Provisioning with OracleVM Oracle Fusion Oracle Non-Oracle Non-Oracle Database Middleware Applications Applications Applications Enterprise Enterprise Enterprise Oracle/Red Microsoft Linux Linux Linux Hat Linux Windows Oracle VM

15 Oracle In Memory Database Cache Offload Workload to the Middle Tier Utilizes middle tier resources Data cached in application memory Database tables Subsets of rows & columns Business Applications Cached tables Business Applications Cached tables Fast, consistent response times High transaction throughput Standard SQL interface Synchronized with Oracle Database

16 Oracle Database 11g Release 2 Reduce I/O bandwidth requirement with Flash Cache A transparent extension of the database buffer cache using solid-state disk (SSD) technology SSD acts as a Level 2 cache (SGA is Level 1) Faster than disk (100x faster for reads) Cheaper than memory ($50 per gigabyte) Large capacity (hundreds of gigabytes per flash disk) Fewer drives and better performance For I/O throughput, users often use hundreds of drives today Flash enables I/O throughput without all the drives Large jobs complete faster

17 Flash Cache How it works Extended Buffer Cache 16 GB SGA Memory 120 GB Flash Cache Install Flash Drive in the Host Server Set two init.ora parameters: db_flash_cache_file = <filename> Specifies the path to the flash disk db_flash_cache_size=<size> Specifies the amount of flash disk to use 360 GB Magnetic Disks

18 Flash Cache How it works Extended Buffer Cache Hot Data 16 GB SGA Memory 120 GB Flash Cache 1. Blocks read into buffer cache 2. Dirty blocks flushed to disk Cold Data 360 GB Magnetic Disks

19 Flash Cache How it works Extended Buffer Cache Hot Data 16 GB SGA Memory 1. Blocks read into buffer cache 3. Clean blocks moved to Flash Cache based on LRU* (once SGA is full) 2. Dirty blocks flushed to disk 120 GB Flash Cache Warm Data Cold Data 360 GB Magnetic Disks * Headers for Flash Cached blocks kept in SGA

20 Flash Cache 4. User Process reads blocks from SGA (copied from Flash Cache if not in SGA) Hot Data 16 GB SGA Memory 1. Blocks read into buffer cache Extended Buffer Cache 3. Clean blocks moved to Flash Cache based on LRU* 2. Dirty blocks flushed to disk 120 GB Flash Cache Warm Data Cold Data 360 GB Magnetic Disks * Headers for Flash Cached blocks kept in SGA

21 Flash Cache Things to note Customers should test flash drives thoroughly quality and performance varies greatly today Large flash areas may require additional SGA for buffer headers, approximately 2 4% of Flash Cache data With large flash drives, the time to warmup the cache and deliver full benefit could be substantial Multiple flash drives may be combined via volume managers or ASM Flash drives can use PCI, SCSI, or DIMM connections, as long as they look to Oracle like a regular disk Optional storage clause FLASH_CACHE { KEEP NONE } to force a table or partition in or out of the cache Flash cache reduces read I/O, but does not affect write I/O

22 Oracle Database 11g Release 2 ASM Supports All File Types ASM Cluster File System SOA IMDB OC4J APACHE Siebel Web DW ODS PSFT EBS RAC One File System Binaries OCR & Voting Files DB Datafiles ASM now supports all types of files Database files Shared Clusterware files (OCR/Vote Disk) File system files ASM Cluster File System (ACFS) 3 rd -party file systems

23 Oracle Database 11g Release 2 ASM Cluster File System (ACFS) ASM Cluster File System SOA IMDB OC4J APACHE Siebel Web DW ODS PSFT EBS RAC One File System Binaries OCR & Voting Files DB Datafiles General purpose clustered or local file system Data stored in ASM Inherits all ASM manageability benefits Optimized disk layout Online disk add/drop/rebalance Integrated mirroring Read-Only Snapshots up to 64 point-in-time space efficient copies of file system

24 Oracle Database 11g Release 2 Other ASM Enhancements Improved Management ASM Install & Configuration Assistant (ASMCA) Full Featured ASMCMD ASM File Access Control ASM Disk Group Rename Datafile to Disk Mapping Tunable Performance Intelligent Data Placement Frequently Accessed Data Infrequently Accessed Data

25 Manage Data Growth Partition for performance, management and cost ORDERS TABLE (7 years) % Less Active 5% Active Low End Storage Tier 2-3x less per terabyte High End Storage Tier

26 Oracle Database 11g Release 2 Partitioning Improvements ORDERS TABLE (7 years) Partition Scan Index Lookup Large Zero Size Unusable Index Small Usable Index Zero-Size Unusable Indexes and Index Partitions Intelligent Multi Branch Execution allows queries on indexed and non-indexed partitions Virtual Columns in the Primary Key or Foreign Key for Reference Partitioning

27 Significantly Reduce Storage Costs Advanced OLTP Compression Compress large application tables Transaction processing, data warehousing Compress all data types Structured and unstructured data types Improve query performance Cascade storage savings throughout data center Up To 4X Compression

28 Real World Compression Results 10 Largest ERP Database Tables 2500 Data Storage Table Scans x Saving DML Performance x Faster 10 0 < 3% Overhead

29 Oracle Database 11g Release 2 Other Compression Improvements SecureFiles Compression Compression Level LOW Compression algorithm optimized for high performance 3x less CPU utilization than default SecureFiles Compression Maintains 80% compression of default SecureFiles Compression Data Guard Redo Transport Compression Compress network traffic during normal operations

30 Distributed Data Marts and Servers Expensive data warehouse architecture Data Marts Online Analytics ETL Data Mining

31 Consolidate on to a Data Warehouse Single source of truth on low cost servers & storage Data Marts Online Analytics Data Mining ETL Oracle Database 11g with integrated ETL, Analytics & Data Mining

32 Data Warehousing Optimizations Work smarter not harder Key Features Partitioning Parallel Operations Optimized Indexing Materialized Views OLAP Cubes Data Mining Query Results Cache ETL & Data Quality Oracle Database 11g

33 Oracle Database 11g Release 2 Enhanced SQL Processing capabilities Recursive WITH clause ANSI-compliant recursive functionality Superior performance over CONNECT BY New analytical window functions Nth value for inter-row calculation New aggregate function LISTAGG SELECT deptno, LISTAGG(ename, '; ') WITHIN GROUP (order by ename) FROM emp GROUP BY deptno; DEPTNO LISTAGG(ENAME,';')WITHINGROUP(ORDERBYENAME) CLARK; KING; MILLER 20 ADAMS; FORD; JONES; SCOTT; SMITH 30 ALLEN; BLAKE; JAMES; MARTIN; TURNER; WARD

34 Oracle Database 11g Release 2 Automated Degree of Parallelism Currently tuning parallelism is a manual process one degree of parallelism does not fit all queries too much parallelism can flood system Automated Degree of Parallelism automatically decides If a statement will execute in parallel or not (serial execution would take longer than a set threshold 30 secs) What degree of parallelism the statement will use Optimizer derives the DoP from the statement based on resource requirements Uses the cost of all scan operations Balanced against a max limit of parallelism

35 Automated Degree of Parallelism How it works SQL statement Statement is hard parsed And optimizer determines the execution plan If estimated time greater than threshold Optimizer determines ideal DOP If estimated time less than threshold PARALLEL_MIN_TIME_THRESHOLD Actual DOP = MIN(default DOP, ideal DOP) Statement executes serially Statement executes in parallel

36 Oracle Database 11g Release 2 Parallel Statement Queuing Automatic Degree of Parallelism means More statements will run in parallel Potential system thrashing due to too many processes Parallel Statement Queuing automatically decides if a statement can execute immediately or not When a parallel statement starts it checks if enough parallel servers (aka Parallel Query Slaves) are available If not, queue the statement Once enough parallel servers become available, statement is de-queued and executed

37 Parallel Statement Queuing How it works SQL statements Statement is parsed and Oracle automatically determines DOP If not enough parallel servers available queue FIFO Queue If enough parallel servers available execute immediately When the required number of parallel servers become available the first stmt on the queue is dequeued and executed 8 128

38 Parallel Statement Queuing Monitoring in Enterprise Manager Click on the SQL ID for more info Clock symbol indicated a queued statement Awaiting screen shot from EM

39 Parallel Statement Queuing Monitoring in Enterprise Manager Wait event indicates stmt is at the head of the queue

40 Oracle Database 11g Release 2 In-Memory Parallel Execution Data warehouse environments can have large amounts of memory that is not always used An algorithm places fragments of an object (partitions) in memory on different nodes Compression gets more data in memory Parallel servers (aka PQ Slaves) are then executed on the corresponding nodes Requires Automatic Degree of Parallelism Real Application Clusters

41 In-Memory Parallel Execution How it works SQL statement Determine the size of the table being looked at Table is a good candidate for In-Memory Parallel Execution Fragments of Table are read into each node s buffer cache Table is extremely small Table is extremely Large Read into the buffer cache on any node Always use direct read from disk Only parallel server on the same RAC node will access each fragment

42 Traditional High Availability Expensive, idle redundancy Production Server Solaris Cluster HP ServiceGuard IBM HACMP Idle Failover Server Idle Disaster Recovery BMC SQL Backtrack Veritas Volume Manager

43 Oracle Maximum Availability Architecture Fully Utilizing Redundancy Secure Backups to Cloud and Tape Real Application Clusters Data Guard Active Data Guard Fast Recovery Area Automatic Storage Management

44 Physical Standby with Real-Time Query Continuous Redo Shipment and Apply Now supports Real-time Queries Incremental Concurrent backups! Real-Time Query Primary Database Physical Standby Database Read-only queries on physical standby concurrent with redo apply Supports RAC on primary / standby Queries see transactionally consistent results Handles all data types, very fast, operationally simple But not as flexible as logical standby Immediate appeal to the many users of physical standby DR with real time query is unique in the industry no idle resources This presentation is for informational purposes only and may not be incorporated into a contract or agreement.

45 Snapshot Standby Leverage Standby Database for Testing Physical Standby Apply Logs Open Database Back out Changes Snapshot Standby Perform Testing Continuous Redo Shipping Convert Physical Standby to Snapshot Standby and open for writes by testing applications ALTER DATABASE CONVERT TO SNAPSHOT STANDBY; Discard testing writes and catch-up to primary by applying logs ALTER DATABASE CONVERT TO PHYSICAL STANDBY; Preserves zero data loss But no real time query or fast failover Similar to storage snapshots, but: Provides DR at the same time Single copy of storage No idle resources This presentation is for informational purposes only and may not be incorporated into a contract or agreement.

46 Oracle Database 11g Release 2 Data Guard Enhancements Active Data Guard - Quality of Service Standby Query SLA configurable from zero to n seconds Set maximum allowable data delay at standby database Database returns error to application if maximum is exceeded Application can redirect query to primary database Automatic block repair Bad blocks detected and fixed using good version from standby Data Guard - network utilization Transport compression for bandwidth constrained WANs Not just to resolve gaps after propagation interruptions

47 Additional Availability IMDB Cache Integration Support Data Guard synchronous physical standby Failover and switchover Transient rolling upgrade Zero down time No data loss Application Transactions In-Memory Cache Tables Active Cache Refresh Hot Standby for reads In-Memory Cache Tables Standby Cache Write-through Data Guard Real Application Clusters Active Data Guard

48 Additional Availability IMDB Cache Integration After switchover or failover to standby Data Guard Zero down time No data loss Application Transactions In-Memory Cache Tables Active Cache Refresh Hot Standby for reads In-Memory Cache Tables Standby Cache Write-through Real Application Clusters Active Data Guard

49 Oracle Database 11g Release 2 Streams Enhancements - Performance High performance typical of basic uni-directional Streams replication environment now extended to complex configurations Faster transformations - especially useful for application integration Statement DML Handlers - up to 4x faster than procedural DML handlers New Declarative Transformation - Keep Columns Optimized one-to-many propagations - up to 2x faster N-way and hub-and-spoke configurations Improved JMS integration and performance improvements for Streams Advanced Queuing - AQ dequeue is 30%-100% faster than previous releases

50 Oracle Database 11g Release 2 Streams Enhancements - XStreams 3 rd party apps require fast real-time access to changes in Oracle database, to support heterogeneous data integration environments Solution: Extended Streams - XStream (API to Oracle Streams) Client application attaches directly to Streams apply process Direct access to Streams processes using OCI / Java Outbound server (XStream Out) Stream changes out of the Oracle database to client application Inbound server (Xstream In) Stream changes from external sources into an Oracle database XStream

51 Oracle Database 11g Release 2 Backup & Recovery Enhancements New RMAN backup compression capabilities HIGH reduces backup size by 40%+ depending on data type LOW least impact on backup throughput MEDIUM best balance between compression & throughput Tablespace Point-in-time Recovery Can recover dropped tablespaces Can perform multiple recoveries of the same tablespace Oracle Secure Backup Cloud Module Transparent integration between RMAN and cloud-based storage Initial support for Amazon Simple Storage Service (S3)

52 Oracle Database 11g Release 2 Online Application Upgrade Large, mission critical applications are often unavailable for tens of hours while a patch or an upgrade is installed Oracle Database 11g Release 2 introduces revolutionary new capabilities that allow online application upgrade with uninterrupted availability of the application The pre-upgrade application and the post-upgrade application can be used concurrently

53 Online Application Upgrade Requirements The installation of the upgrade into the production database must not perturb live users of the pre-upgrade application Many objects must be changed in concert. The changes must be made in privacy Transactions done by the users of the pre-upgrade application must by reflected in the post-upgrade application For hot rollover, we also need the reverse of this: Transactions done by the users of the post-upgrade application must by reflected in the pre-upgrade application

54 The solution Edition-based redefinition Revolutionary new features: edition editioning view crossedition trigger Code changes are installed in the privacy of a new edition Data changes are made safely by writing only to new columns or new tables not seen by the old edition An editioning view exposes a different projection of a table into each edition to allow each to see just its own columns A crossedition trigger propagates data changes made by the old edition into the new edition s columns, or (in hot-rollover) vice-versa

55 Oracle Database 11g Release 2 Database Security Encryption and Key Management Change / re-key TDE tablespace encryption master keys Reduced storage overhead for TDE column encryption with NOMAC option Database Auditing New package automates cleanup of database audit data Audit ALL STATEMENTS BY USER option Additional audit information for connections over Database links Audit trail cleanup integrated with Oracle Audit Vault

56 Oracle Database 11g Release 2 Database Security Database Vault Patching without turning Database Vault off New DV_PATCH_ADMIN role Security enforcement retained after restore on different machine User Management and Strong Authentication Kerberos support for constrained delegation in MS-Windows Kerberos support for database links New Alter Database Link change password syntax

57 Oracle Database 11g Release 2 Data Masking Pack Out of box mask formats for commonly masked data Condition-based Masking Compound Masks Integrated Clone + Mask workflow Deterministic masking support Supported in Enterprise Manager Database Control

58 Oracle Database 11g Release Total Recall Schema Evolution Support Drop Column Add Column Add Column Alter base table history table automatically adjusts Drop, Rename, Modify Column Drop, Truncate Partition Rename, Truncate Table Flashback query supported across DDL changes time Flashback Version Query Complex DDL changes (e.g. table split) accommodated Associate/Diassociate history table via DBMS_FLASHBACK_ARCHIVE package

59 Database Management Proactive, Self-Managing Software Information Full Time Employees Database Management Challenge Self Managing Software Complexity

60 Managing Complexity Automated Self-management Automated: Storage Memory Statistics SQL tuning Backup and Recovery Advisory: Indexing Partitioning Compression Availability Data Recovery

61 Oracle Database 11g vs Oracle Database 10g Reducing time and complexity even more 26% less time 31% fewer steps 100% 75% Oracle9i Database Oracle Database 10g Oracle Database 11g 50% 25% 0% Time Steps

62 Oracle Database 11g Release 2 Offline Performance Analysis with Active Reports Interactive performance reports for off-line analysis Offer same level of interactivity with drill-downs for detailed analysis very helpful for diagnostic purposes Can be ed to appropriate personnel for analysis Does not require Enterprise Manager installation

63 Oracle Database 11g Release 2 Improved RAC Performance Monitoring and Diagnostics Summary view of health of services Top Cluster events: Identifies which events and instances caused the highest percentage of wait events across the RAC cluster ADDM shows blocking sessions across RAC instances Backward compatible: Can analyze snapshots from earlier versions

64 Oracle Database 11g Release 2 High Availability Console

65 Oracle Database 11g Release 2 Maximum Availability Architecture Advisor

66 Oracle Database 11g Release 2 Compression Advisor Analyzes objects to give estimate of space savings for different compression methods Helps in deciding correct compression level for application Recommends various strategies for compression Picking the right compression algorithm for a particular data set Sorting on a particular column for increasing compression ratio Presents tradeoffs between different compression algorithms Works for OLTP compression (via OEM) and Hybrid Columnar compression (via SQL*Plus)

67 Oracle Database 11g Release 2 Segment Creation on Demand Oracle Applications and SAP create thousands of tables Only a small subset is used by any customer New SEGMENT CREATION DEFERRED clause During table creation, segments are not created for table, lob, index segments During a CTAS, segments are not created if no rows returned On first row insertion, all segments are created

68 Oracle Database 11g Release 2 Resource Manager Instance Caging More flexible alternative to server partitioning Wider platform support than operating system resource managers Lower administration overhead than virtualization Set CPU_COUNT per instance and enable resource manager Sum of cpu_counts 16 Total Number of CPUs = 16 Instance D Instance C Instance B Instance A

69 Oracle Database 11g Release 2 Database File System (DBFS) Network File System Like interface for the database File system calls passed to DBFS client Also provides shell interface PL/SQL package implements file calls File create, open, read, list, etc. Files stored as LOBs using Secure Files DBFS Links Metadata stored in tables OCI DBFS Client Linux File System Call

70 Oracle Database 11g Release 2 Improved XML DB Performance and Scalability Up to 25X improvement in performance Up to 50X more scalable Better handling of extremely complex industry schemas (e.g. US GAAP) New indexing method accelerates structured queries on schema-less XML Significant optimization of Binary XML, XQuery and XML generation Improved overall scalability through XML partitioning and RAC support 50X scalability and 2.5X through-put for XML DB repository operations

71 Oracle Database 11g Release 2 Oracle Spatial and Semantic Database Oracle Spatial New Java programming APIs for GeoRaster and 3D operation simplify programming Java viewer to help visualize 3D data Improved routing operations Semantic Database VPD and OLS support Semantic indexing of documents based on popular natural language tools SPARQL query language support

72 Oracle Database 11g Release 2 Oracle Multimedia and DICOM support Oracle Multimedia Database-enforced Image Watermarking New image processing operators Updated Streaming Server Plug-ins for Microsoft Windows Media Services and RealNetworks Streaming Servers DICOM support Many enhancements and performance improvements for DICOM medical imaging Support for DICOM Video and Structured Reports Mid-tier metadata extraction

73 Oracle Database 11g Release 2 Support for all Application Development Frameworks

74 Oracle Database 11g Release 2 JDBC Ease of Upgrade for Timezone and Timestamp file versions LOB Prefetching: saves roundtrip Faster LOB operations for SecureFiles Support for Database Edition

75 Oracle Database 11g Release 2 OCI, Pre-Compilers and Dynamic Languages (PHP, Python, Ruby) Non-intrusive Client-side Query Result Cache OCI and Precompilers support for In-Memory Database Cache Ease of Upgrade for Timezone and Timestamp file versions Ref Cursor Pre-Fetching - saves roundtrips to the database Monitoring DRCP connections

76 Oracle Database 11g Release 2.Net Performance Performance tuning in Visual Studio Oracle Performance Analyzer Uses SQL Tuning Advisor, AWR, and ADDM ODP.NET self-tuning Statement cache size dynamically changes based on frequency of executed statements Faster data retrieval Populate a DataSet faster and retrieve data faster with OracleDataReader Promotable transactions Promote local transactions to distributed at run time

77 Oracle Database 11g Release 2.Net Advanced Queuing Use Visual Studio to administer AQ Queue designers add, delete, modify View queues Develop.NET AQ applications with ODP.NET APIs Enqueue, dequeue, subscribe, listen, etc. ODT ease of use Enhanced user and role management tools More paging, filtering, selection, and configuration choices ODP.NET Permission Classes Enforce code access security to Oracle

78 Oracle Application Express (APEX) Database-Centric Web Application Development Tool Unique Rapid Application Development (RAD) tool for the Oracle Database Browser based for Development, Deployment & Use Declaratively build professional Web 2.0 applications that are fast and secure Leverages full Oracle database capabilities and existing SQL & PL/SQL skills Standard component of the database Fully supported, no-cost option with all editions of the Oracle Database

79 Oracle Database 11g Release 2 Interactive Reports

80 Oracle Database 11g Release 2 Oracle Forms to APEX Conversion

81 Oracle SQL Developer Database Development IDE Popular Most downloaded Oracle tool 1.5M users #1 Oracle database development IDE Distribution (No Cost) With Database All Editions OTN download Benefits Productivity Ease of use Introduced March 2006

82 Oracle Database 11g Release 2 What are my upgrade paths?

83 Customer Resources OTN Upgrade Page

84 Customer Resources Metalink Note: Upgrade Companion 11g R1 Note: will be available soon for 11g R2