Oracle - Engineered for Innovation Thomas Kyte
http://asktom.oracle.com Slide 2 The Beginning... Data Model with
Structure Data Independent of Code Set-oriented 1977 the work
begins A Relational Model for Large Shared Databanks E.F. Codd -
1970 Slide 3 GPS 1978 Slide 4 First RDBMS: Version 2 June 1979
FIRST Commercial SQL RDBMS Impressive First SQL Joins, Subqueries
Outer Joins, Connect By A Simple Server No transactions, Limited
Reliability Portability from the Start Written in Fortran But
multi-platform PDP11, Dec VAX Slide 5 IBM PC 1981 IBM model number
5150, introduced on August 12, 1981. Slide 6 Internet (as we know
it) 1983 The first TCP/IP-based wide-area network was operational
by January 1, 1983 when all hosts on the ARPANET were switched over
from the older NCP protocols. Slide 7 Portability: Version 3 March
1983 New Implementation Designed for Portability Written in C
Single Source Architectural Changes Transactions, multi-versioning,
no read consistency AI/BI files Oracle Corporation name established
Slide 8 Slide 9 Slide 10 Cooperative Server: Version 5 April 1985
My First Oracle Experience 1st Client/Server Cooperative Server
Distributed Processing Parallel Server Portability V5 was first to
go beyond 640K memory on PCs Single-user for Macintosh o/s
SQL_TRACE select trace('sql',1),1 from dual; Slide 11 Transaction
Processing: Version 6 July 1988 New Architecture Performance (first
SMP) Availability TPO PL/SQL V6 Lays Architectural Groundwork for
the Future This was a rewrite of the entire database fundamentally
Slide 12 World Wide Web 1990ish The World Wide Web was created in
1989 by British scientist Tim Berners-Lee, working at the European
Organization for Nuclear Research (CERN) in Geneva, Switzerland,
and released in 1992. Slide 13 Oracle7.3 February 1996 Partitioned
Views Bitmapped Indexes Asynchronous read ahead for table scans
Standby Database Deferred transaction recovery on instance startup
Updatable Join View SQLDBA no longer shipped. Index rebuilds DBV
introduced Context Option PL/SQL - UTL_FILE Spatial Data Option
Tablespaces changes - Coalesce, Temporary Permanent, Trigger
compilation, debug Unlimited extents on STORAGE clause. Some
init.ora parameters modifiable - TIMED_STATISTICS HASH Joins,
Antijoins Histograms Oracle Trace Advanced Replication Object
Groups Slide 14 Slide 15 Slide 16 Data Warehouses Growing Rapidly
Tripling In Size Every Two Years Source: Winter TopTen Survey,
Winter Corporation, Waltham MA, 2008. 200 400 600 800 1000
19982000200220042006200820102012 Terabytes of Data Size of the
Largest Data Warehouses Slide 17 Enabling the Private Database
Cloud Years of continuous Oracle innovation Oracle Database 10g
Oracle Database 11g Oracle Exadata Oracle9i Database Real
Application Clusters Database Services CPU Resource Management
Automatic Storage Management Dynamic Database Services Instance
caging I/O resource management Server Pools Quality of Service
Management InfiniBand support Smart Scans Smart Flash Cache Hybrid
Columnar Compression 2011 Oracle Corporation Slide 18 Three Major
Database Focus Areas Engineered for Innovation CLOUD COMPUTING
PRIVATE AND PUBLIC ENGINEERED SYSTEMS BIG DATA SOCIAL BLOG SMART
METER 101100101001 001001101010 101011100101 010100100101 Slide 19
Building Managed Server and Storage Pools Real Application Clusters
Enterprise Manager In-Memory Database Cache Automatic Storage
Management Real Application Clusters Slide 20 Service Level
Management Resource Manager and Instance Caging Resource Manager
allocates CPU and Memory Instance caging allocates cores per
instance Capacity-on-demand for elastic cloud computing Slide 21
Complete Data Security Firewall, Encryption, Separation of Duty and
Monitoring Applications Network SQL Monitoring and Blocking
Encrypted Database Data Masking Multi-factor authorization
Unauthorized DBA Activity Compliance Scan Vulnerability Scan Data
Discovery Activity Audit Patch Automation Slide 22 Provisioning
Software to the Cloud Lower complexity via Reference Configurations
Gold image reference configurations Standardized deployments via
profiles Rapidly provision databases to the Cloud Monitor change
centrally to ensure compliance Create Reference Configuration Stage
as Gold Image Provision Database on Cloud Manage Centrally Slide 23
Metering and Chargeback Enterprise Manager 12c Resource usage
metering Historical usage trends Cost allocation and charge plan
evaluation Reporting for cloud self- service application Discover
& PlanTrack Usage Charge User Slide 24 Optimized,
Pre-Integrated Cloud Platform Oracle Exadata Database Machine
Database Server Pool Oracle Database 11g Release 2 Oracle Real
Application Clusters Automatic Storage Management Storage Server
Pool Up to 336 TB disk 5 TB flash storage Oracle Exadata Storage
Software InfiniBand Network 40 Gb/sec redundant switches Slide 25
Improve Data Warehouse performance 10x Exadata Smart Scans Data
intensive processing runs in Exadata Storage Servers Rows and
columns filtered as data streams from disks Select sum(sales) where
salesdate= 21-Sep-2010 Sum Filter Sales for Sep 21 2010 What Were
Yesterdays Sales? Slide 26 Storage Optimization Next Generation
Compression Technology Increase compression as data ages Improve
query performance for table scans Improve cache density for OLTP
performance No changes to existing applications Cascade storage
savings throughout data center 4X Up to OLTP Compression 50X Up to
Hybrid Columnar Compression (Exadata, Pillar Axion, Sun ZFS Storage
Appliance) Slide 27 Extreme Performance for OLTP Exadata Smart
Flash Cache Full rack has 5 TB of Smart Flash Cache Can process
over 1 million IOs per second Slide 28 Public Cloud Oracle Public
Cloud (cloud.oracle.com) Public Cloud -Self Service -Monthly
Subscription -Simple Pricing Services -Application -Platform
Platform Services -Java Cloud Service -Database Cloud Service Slide
29 Database Applications in the Public Cloud Database Cloud Access
and Applications RESTful Web Services Oracle Java Cloud SQL
Developer Oracle Application Express Applications Slide 30 Big Data
Buzz Keeping Afloat in a Sea of 'Big Data ITBusinessEdge 9/6/11 Why
big data is a big deal InfoWorld 9/1/11 The challenge and
opportunity of big data McKinsey Quarterly5/11 Getting a Handle on
Big Data with Hadoop Businessweek-9/7/11 Ten reasons why Big Data
will change the travel industry Tnooz -8/15/11 The promise of Big
Data Intelligent Utility-8/28/11 Slide 31 Big Data Use Cases Todays
ChallengeNew DataWhats Possible Healthcare Expensive office visits
Remote patient monitoring Preventive care, reduced hospitalization
Manufacturing In-person support Product sensorsAutomated diagnosis,
support Location-Based Services Based on home zip code Real time
location data Geo-advertising, traffic, local search Public Sector
Standardized services Citizen surveys Tailored services, cost
reductions Retail One size fits all marketing Social media
Sentiment analysis segmentation Slide 32 What Makes it Big Data?
VOLUMEVELOCITYVARIETYVALUE SOCIAL BLOG SMART METER 101100101001
001001101010 101011100101 010100100101 Slide 33 Slide 34 Slide 35
Make Better Decisions Using Big Data Big Data in Action ANALYZE
DECIDE ACQUIRE ORGANIZE Slide 36 Acquire all available data Big
Data in Action ANALYZE DECIDE ORGANIZE ACQUIRE Slide 37 Oracle
NoSQL Database Key value pair database Dynamic data model Highly
scalable, available Transparent load balancing Built using
BerkeleyDB Nodes East Nodes West Nodes Central Nodes NoSQL Driver
Application NoSQL Driver Application Nodes ReadDeleteRead Update
Slide 38 Organize and distill big data using massive parallelism
Big Data in Action ANALYZE DECIDE ACQUIRE ORGANIZE Slide 39
Analysis Sandbox Provides analysis workspace Controlled access to
resources and data Doesnt impact production system Slide 40 Oracle
Loader for Hadoop SHUFFLE /SORT MAP SHUFFLE /SORT REDUCE SHUFFLE
/SORT REDUCE INPUT 2 INPUT 1 MAP REDUCE MAP REDUCE MAP REDUCE Slide
41 Analyze all your data, at once Big Data in Action ANALYZE DECIDE
ACQUIRE ORGANIZE ANALYZE Slide 42 R Statistical Programming
Language Open source language and environment Used for statistical
computing and graphics Strength in easily producing
publication-quality graphs Highly extensible Slide 43 Decide based
on real-time big data Big Data in Action ANALYZE ACQUIRE ORGANIZE
DECIDE Slide 44 Dashboard Analytics Oracle Business Intelligence
Enterprise Edition Advanced dashboard visualization Runs BI and EPM
applications Integrating R Analytics Embed R scripts web interface
in BI dashboard Graphics will stream to BI dashboard Slide 45
Oracle Integrated Solution Stack for Big Data ACQUIRE Oracle NoSQL
Database HDFS Enterprise Applications ORGANIZE Hadoop (MapReduce)
Oracle Loader for Hadoop Oracle Data Integrator DECIDE Analytic
Applications ANALYZE In-Database Analytics Data Warehouse Slide 46
Oracle Exalytics Hardware Engineered for extreme analytics 40 Intel
processor cores 1 Terabyte main memory 40 Gb InfiniBand connection
to Oracle Exadata Slide 47 Oracle Exalytics Software Oracle
TimesTen In-Memory Database Adaptive in-memory caching of analytics
In-memory columnar compression Tightly integrated with Oracle
Exadata Enables speed-of-thought visualization Oracle Business
Intelligence Foundation Suite Slide 48 18 Sun X4270 M2 Servers 48
GB memory per node = 864 GB memory 12 Intel cores per node = 216
cores 24 TB storage per node = 432 TB storage 40 Gb p/sec
InfiniBand 10 Gb p/sec Ethernet Oracle Big Data Appliance Hardware
Slide 49 Oracle Linux Java Hotspot VM Apache Hadoop Distribution R
Distribution Oracle NoSQL Database Oracle Data Integrator for
Hadoop Oracle Loader for Hadoop Oracle Big Data Appliance Software
Slide 50 Oracle Strategy Engineered for Innovation Complete Stack
Best-of-breed Open Vertical Integration Extreme Performance
Engineered Systems Complete Customer Choice On-premise Private
Cloud Public Cloud Hybrid Cloud
