Eficiencia en Gestión y Ahorro de Costes con la Base de Datos Oracle 12c

Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 1

Ignacio Caballero Iñigo

Principal Database Sales Consultant

Oracle Database 12c


IT Under Pressure

WE’RE AT A TIPPING POINT IN IT

Increasing Demands from Users

Explosion in Mobile Devices, Data and Risk

State Pressures on Business / IT


IT Under Pressure

80 % TODAY,

of budget goes to

Maintaining current

operations


Oracle Database 12c

Reduce the cost

of storing data

Provide

continued access

to data

Enable quicker

access to data

Provide simpler

management of

data

Ensure secure

access to data

Core Aims of Oracle Database 12c


Database Consolidation on Clouds Traditional consolidation methods

Co

nso

lida

tio

n D

en

sity

Schema Consolidation

Share Servers, OS & Database

Virtual Machines

Share Servers

Clustered Databases

Share Servers & OS


Co

nso

lida

tio

n D

en

sity

Oracle Multitenant Simplifies consolidation, enables Database as a Service

Share Servers, OS & Database

Pluggable Databases Clustered Databases

Share Servers & OS

Virtual Machines

Share Servers


Oracle Database Architecture Requires memory, processes and database files

System Resources


New Multitenant Architecture Memory and processes required at container level only

System Resources


New Multitenant Architecture Memory and processes required at container level only

System Resources


Managing Shared Resources Resource management for consolidated databases

High Priority

Medium Priority

Low Priority


Simplified Patching Apply changes once, all pluggable databases updated

Upgrade

in-place


Simplified Upgrades Flexible choice when patching & upgrading databases


RAC, Data Guard

Data Guard

Oracle Multitenant for Database as a Service Pick from standard sizes and service levels

✔

GOLD

SILVER

BRONZE Backups ✔


Creating Databases for Test and Development Fast, flexible copy and snapshot of pluggable databases


Isolation and multitenancy

Fast provisioning and cloning

Secure and highly available

No application changes

Manage many as one

Greater resource utilization

Performant and scalable

Lower IT costs

New Multitenant Architecture Ideal for consolidating databases on Clouds


Heat Map

Smart Compression

Automated Tiering

In Database Archiving

Network Compression

Automatic Data Optimization Optimize data storage based on usage


More Efficient Data Management

Size of database systems and individual tables constantly growing

– Multi-Terabyte single tables common in large enterprise systems

Maintenance windows are shrinking or even non-existent

– 24x7 availability requirement

Requirement: data maintenance operations must

– Operate transparently without impact on DML and queries

– Scale with the size of data maintained

– Touch only relevant data to begin with


Transparent MOVE PARTITION ONLINE operation

Concurrent DML and Query

Index maintenance for local and global indexes

Enhanced Partition Maintenance Operations Online Partition Move

Jan2012 Aug2012 Sep2012 Oct2012

…

Nov2012 Dec2012


Partial indexes span only some partitions

Applicable to local and global indexes

Complementary to full indexing

Enhanced business modeling

Enhanced Indexing with Oracle Partitioning Partial Local and Global Indexes

Global Non-Partitioned Index

Table

Partition

Table

Partition

Table

Partition

Global Partitioned Index

Local Partitioned Index

Partial Global Index

Partial Local Partitioned Index

Partial Global Partitioned Index

Full Indexing

Indexing on

Partial Indexes

Indexing off

No Indexing


Automatic Data Optimization

An in memory heat map tracks access to segments and

blocks

– Data is periodically written to disk

– Information is accessible by views or stored procedures

Users can attach policies to tables to compress or tier data

based on access to data

– Tables or Partitions can be moved between compression levels

whilst data is still being accessed

Simplifying the life cycle of data

Po licy 1


Introducing Heat Map for Data Compression Reduce storage footprint, read compressed data faster

Hot Data

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted 21

111010101010101001101010101011010001011011000110100101000001001110001010101101001011010010110001010010011111001001000010001010101101000

10101010111010100110101

11000010100010110111010

10100101001001000010001

01010110100101101001110

00010100100101000010010

00010001010101110011010

Warm Data

101010101110101001101011100001010001011011101010100101001001000010001010101101001011010011100001010010010100001001000010001010101101001

10101010111010100110101110000101000101

10111010101001010010010000100010101011

01001011010011100001010010010100001001

00001000101010111001101110011000111010

Archive Data

101010101110101001101011100001010001011011101010100101001001000010001010101101001011010011100001010010010100001001000010001010101101001

10101010111010100110101110000101000101101110101

01001010010010000100010101011010010110100111000

01010010010100001001000010001010101110011011100

3X Advanced Row Compression

10X

Columnar Query Compression

15X

Columnar Archive Compression


Automatic Data Optimization Add compression and tiering policies to tables


Oldest Data Most Recent Data

Po licy 1

Po licy 2

Compress Partitions with

row compression

if they haven’t been modified in

30 days

Compress Partitions with

columnar compression if they

haven’t been modified in 180

days


Automatic Data Optimization Reduce storage footprint, read compressed data faster

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted 23


Po licy 1

Po licy 2


Automatic Data Optimization Automatically tier data to lower cost storage



Po licy 1

Po licy 2

Po licy 3

If the tablespace is nearly full

compress the oldest partition

with archive compression and

move it to Tier 2 Storage


Data Guard Far Sync

Data Guard Fast Sync

Global Data Services

Active Data Guard Reporting Enhancements

Flex ASM

Rolling Upgrade using Data Guard

Application Continuity

High Availability Active Replicas

GoldenGate Integrated Capture


Maximum Availability Architecture

Active Data Guard – Data Protection, DR

– Query Offload

GoldenGate – Active-active

– Heterogeneous

RMAN, Oracle Secure Backup – Backup to tape / cloud

Active Replica

Edition-based Redefinition,

Online Redefinition, Data Guard, GoldenGate – Minimal downtime maintenance, upgrades, migrations

RAC – Scalability

– Server HA

Flashback – Human error

correction

Production Site Application Continuity – Application HA

Global Data Services – Service Failover / Load Balancing


Transaction Guard

Preserve and Retrieve COMMIT Outcome

API that supports known commit

outcome for every transaction

Without Transaction Guard, upon

failures – transaction retry can

cause logical corruption

With Transaction Guard,

applications can deal gracefully

with error situations, vastly

improving end-user experience

Used transparently by

Application Continuity

Application

Servers

Database

Servers

End User


Application Continuity Masks Unplanned/Planned Outages

Replays in-flight work on

recoverable errors

Masks many hardware, software,

network, storage errors and outages

when successful

Improves end-user experience and

productivity without requiring

custom app development

WebLogic Server 12c takes full

advantage of the feature via simple

configuration

Transaction Replayed

WebLogic

Servers

Database

Servers

End User




• Extends RAC-style service failover, load

balancing (within and across data

centers), and management capabilities to

a set of replicated databases

• Takes into account network latency,

replication lag, and service placement

policies

• Achieve higher availability, improved

manageability and maximize

performance

Load Balancing and Service Failover for Replicated Databases


Data Guard Far Sync Standby between continents with zero data loss

Primary Standby

Far Sync

Instance (Active)

Far Sync

Instance (Idle)

New York

Bridgeport

Reading

London

sync

async


1 0 1

0 1 0 1 0

1 1 1 0 1 0 0 1

1 0 1 1 0 1 1 1 1 0

0 0 1 0 1 0 0 0 0

1 0 0 1 1 0 1

1 0 1 0

0 1

Fine-grained Table Recovery From Backup

Simple RECOVER TABLE command to

recover one or more tables (most

recent or older version) from an RMAN

backup

Eliminates time and complexity

associated with manual restore, recover

& export

– Enables fine-grained point-in-time

recovery of individual tables instead of

the contents of the entire tablespace

RMAN Backups


1 1 1 0 1

1 0 1 1 0 1 1 1 1 0 1

0 0 1 0 1 0 0 0 0 1

1 0 0 1

1 1 1 0 1

1 0 1 1 0

1 1 1 1 0 1

0 0

1 0 1 0

0 0

0 1

1 0 0

1

Cross-Platform Backup & Restore

Simplifies procedure for platform migration

Minimize read-only impact with multiple incremental backups

Simplified Platform Migration

Source Database (AIX)

Backup

to Disk/Tape

(data files, optional

endian conversion,

metadata export)

Restore Backup

(optional endian

conversion,

metadata import)

Destination Database (Solaris)


Automatic Storage Management (ASM) Overview

ASM Cluster Pool of Storage

Disk Group B Disk Group A Shared Disk

Groups

Wide File Striping

One to One

Mapping of ASM

Instances to

Servers

ASM Instance

Database Instance

ASM Disk

RAC Cluster

Node4 Node3 Node2 Node1 Node5 ASM ASM ASM ASM ASM

ASM Instance

Database Instance

DBA DBA DBB DBB DBC DBB

Current State


Flex ASM: Eliminate 1:1 Server Mapping New: ASM Storage Consolidation in Oracle Database 12c

ASM Cluster Pool of Storage

Disk Group B Disk Group A Shared Disk

Groups

Wide File Striping

Databases share

ASM instances ASM Instance

Database Instance

ASM Disk

RAC Cluster

Node5 Node4 Node3 Node2 Node1

Node5

runs as

ASM

Client to

Node4

Node1

runs as

ASM

Client to

Node2

Node1

runs as

ASM

Client to

Node4

Node2

runs as

ASM

Client to

Node3

ASM ASM ASM

ASM Instance

DBA DBA DBB DBB DBC DBB


Data Masking at Source

Privilege Analysis

Integrated Audit Framework

Data Redaction

Database Vault Mandatory Realms

Sensitive Data Discovery

Security Defense in Depth


Soc. Sec. # 115-69-3428

DOB 11/06/71

PIN 5623

Policy enforced redaction of sensitive data

Redacting Sensitive Data Mask Application Data Dynamically

Call Center

Operator

Payroll

Processing

Call Centers

Decision Support Systems

Systems with PII, PHI, PCI data


Deliver Highest Service Quality with Lowest Risk & Effort

Embedded

Management

Latest

Generation

Consolidation

Proactive

Performance

Management

0%

20%

40%

60%

80%

100%

120%

ORACLE DATABASE MANAGEMENT

Comprehensive

Cloud Services


Boost Administrator Productivity

Eliminate Performance Bottlenecks

Lower IT Management Costs

Deliver Higher Quality of Service

Automatic Performance Diagnostics Maximize Performance With Self-Managing Database

• Sustain maximum performance with self-managing database

• Top-down analysis using Automatic Workload Repository snapshots

• Real-time performance analysis with Automatic Database Diagnostic Monitor

• Resolve performance issues faster with drill-down root-cause analysis

• Performance expert; now a RAC specialist too in Oracle Database 11g

Automatic Workload

Repository Snapshots

Performance &

Management

Advisors

High

Load

SQL

RAC

Issues

IO / CPU

Issues

Self-Diagnostic

Engine


• Automatic SQL Tuning

• Captures high-load SQL

• Tunes SQL using SQL Profiles

• Implements greatly improved SQL plans (optional)

• Performance benefit of advice provided

• SQL Profiling tunes execution plan without changing SQL text

Applications

High-Load

Packaged Apps + SQL Profile

Customizable Apps + SQL Advice

Customizable Apps + Indexes & MVs + Partitions

Well-Tuned SQL

Automatic Tuning Optimizer

Automatic SQL Tuning


Discovery and

Initial Provisioning Discover Assets and Provision

Software on them

Ongoing

Change Management

End to End Management of patches,

upgrades, and schema changes

Continuous Configuration

and Compliance

Management

Track inventory, configuration drifts and

compliance

Database Lifecycle Management


INTRODUCING ORACLE DATABASE BACKUP LOGGING RECOVERY APPLIANCE


INTRODUCING ORACLE DATABASE IN-MEMORY OPTION


Oracle Database In-Memory Option

Seamlessly integrated into Oracle Database 12c

Delivers extreme performance for

– Analytics and ad-hoc reporting on live data

– Enterprise OLTP and Data Warehousing

– Scale-up and scale-out

Trivial to deploy for all applications and customers

Leading edge In-Memory technology


Oracle 12c: Stores Data in Both Formats Simultaneously

Optimizing Transaction and Query Performance Row Format Databases versus Column Format Databases

Row

Transactions run faster on row format

– Insert or query a sales order

– Fast processing few rows, many columns

Column

Analytics run faster on column format

– Report on sales totals by state

– Fast accessing few columns, many rows

ORDER

SALES

SALES

S

T

A

T

E


BOTH row and column

in-memory formats for

same data/table

Simultaneously active and

transactionally consistent

100X Faster Analytics &

reporting: column format

2X Faster OLTP: row format

Breakthrough: Dual Format In-Memory Database

Column

Format

Memory

Row

Format

Memory

Analytics OLTP Sales Sales



Eficiencia en Gestión y Ahorro de Costes con la Base de Datos Oracle 12c

Technology

oracle andor

oracle multitenant

oracle database architecture

data tables

data compression

database consolidation

data storage

relevant data