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„Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Jan 27, 2015

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Page 1: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted1

Page 2: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted2

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. Release timing for Oracle Database 12c is planned for Calendar Year 2013.

Page 3: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Automatic Data Optimization with Oracle Database 12cKrzysztof MarciniakSenior Sales Consultant

[email protected]

Page 4: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted4

Agenda

Data Growth’s Impact

Heat Map Access Tracking

Automatic Data Optimization

ILM Benefits of 12c

Page 5: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted5

Growth in Data Diversity and Usage1,800 Exabytes of Data in 2011, 20x Growth by 2020

Mobile#1 Internet access device in 2013

Big DataLarge customers top 50PB

Enterprise45% per year growth

in database data

Cloud80% of newapplications

and their data

Regulation300 exabytes in archives by 2015

Social Business $30B/year in commerce by 2015

Today’s Drivers Emerging Growth Factors

Page 6: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted6

Storage Management Challenges

Compress data, without impacting

performance

Manage more data without incurring additional cost

Tier and compress data based on usage

Page 7: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted7

Information Lifecycle ManagementManaging Data Over its Lifetime

“The policies, processes, practices, and tools used to align the business value of information with the most appropriate and cost effective IT infrastructure from the time information is conceived through its final disposition.”

Storage Networking Industry Association (SNIA) Data Management Forum

$$$Total Cost of Ownership (TCO)

$$$

HighValue

MediumValue

LowValue

Val

ue

at R

isk

Page 8: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted8

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

Hot Data

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted8

111010101010101001101010101011010001011011000110100101000001001110001010101101001011010010110001010010011111001001000010001010101101000

101010101110101001101011

10000101000101101110101

01001010010010000100010

101011010010110100111000

01010010010100001001000

010001010101110011010

Warm Data

101010101110101001101011100001010001011011101010100101001001000010001010101101001011010011100001010010010100001001000010001010101101001

101010101110101001101011100001010001011

011101010100101001001000010001010101101

001011010011100001010010010100001001000

01000101010111001101110011000111010

Archive Data

101010101110101001101011100001010001011011101010100101001001000010001010101101001011010011100001010010010100001001000010001010101101001

101010101110101001101011100001010001011011101010

10010100100100001000101010110100101101001110000

1010010010100001001000010001010101110011011100

3X Advanced Row Compression

10X Columnar Query Compression

15X Columnar Archive Compression

Page 9: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted9

Oracle Advanced CompressionTransparent, Smaller, Faster

100% Application Transparent End-to-end Cost/Performance Benefits across CPU, DRAM, Flash,

Disk & Network Runs Faster: OLTP Apps (Transactional & Analytics) & DW Reduces Database Footprint

– Decreases CapEx & OpEx

– Increases Cloud ROI through Database Footprint reduction in DRAM Memory

Page 10: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted10

Oracle Advanced CompressionNew Features, New Feature Names

Oracle Advanced Compression

Oracle Database 11g Oracle Database 12c

OLTP Compression Advanced Row Compression

Secure Files Compression Advanced LOB Compression

Secure Files De-duplication Advanced LOB Deduplication

Hybrid Columnar Compression Hybrid Columnar Compression

NEW Heat Map (Object and Row Level)

NEW Automatic Data Optimization

NEW Temporal (Advancements)

Page 11: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted11

Heat MapWhat it tracks “Heat Map” tracking

– Database level Heat Map shows which tables and partitions are being used

– Block level Heat Map shows last modification at the block level

Comprehensive– Segment level shows both reads and writes

– Distinguishes index lookups from full scans

– Automatically excludes stats gathering, DDLs or table redefinitions

High Performance– Object level at no cost– Block level < 5% cost

Active

Frequent Access

Occasional Access

Dormant

Actively updated

Infrequently updated, Frequently Queried

Infrequent access for query and updates

Long term analytics & compliance

HOT

COLD

Page 12: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted12

Understanding Data Usage PatternsDatabase ‘heat map’

10 0111 10 10 0111 101 1

00 0101 10 10 0101 10

0 010 0111 10 10 0111 100 010 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 00 00 0111 100 110 0100 11 10 0111 100 0

10 0101 10 10 0101 001 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

10 0110 11 10 0111 100 0

10 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 00 00 0111 100 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

00 0101 10 10 0101 101 110 0111 10 10 0111 100 010 0101 10 10 0101 001 110 0100 11 10 0111 100 0

10 0111 11 10 0111 100 010 0111 10 10 0111 101 110 0110 11 10 0111 100 0

10 0100 11 10 0111 100 0

10 0111 11 10 0111 100 010 0111 10 10 0111 101 110 0110 11 10 0111 100 0

10 0111 10 10 0111 100 01 1

1 1

10 0100 11 10 0111 100 0

10 0100 11 10 0111 1010 0111 10 10 0111 10

10 0100 11 10 0111 100 0

10 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 00 00 0111 100 110 0100 11 10 0111 100 0

10 0101 10 10 0101 001 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

00 0101 10 10 0101 101 110 0111 10 10 0111 100 010 0101 10 10 0101 001 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 0

00 0101 10 10 0101 101 110 0111 10 10 0111 100 010 0101 10 10 0101 001 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 0

00 0101 10 10 0101 101 110 0111 10 10 0111 100 010 0101 10 10 0101 001 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

10 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 00 00 0111 100 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

10 0111 11 10 0111 100 010 0111 10 10 0111 101 110 0110 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 10 10 0111 100 0

10 0110 11 10 0111 100 0

10 0100 11 10 0111 100 0

10 0111 11 10 0111 100 010 0111 10 10 0111 101 110 0110 11 10 0111 100 0

Page 13: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted13

Understanding Data Usage PatternsDatabase ‘heat map’

10 0111 10 10 0111 101 1

00 0101 10 10 0101 10

0 010 0111 10 10 0111 100 010 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 00 00 0111 100 110 0100 11 10 0111 100 0

10 0101 10 10 0101 001 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

10 0110 11 10 0111 100 0

10 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 00 00 0111 100 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

00 0101 10 10 0101 101 110 0111 10 10 0111 100 010 0101 10 10 0101 001 110 0100 11 10 0111 100 0

10 0111 11 10 0111 100 010 0111 10 10 0111 101 110 0110 11 10 0111 100 0

10 0100 11 10 0111 100 0

10 0111 11 10 0111 100 010 0111 10 10 0111 101 110 0110 11 10 0111 100 0

10 0111 10 10 0111 100 01 1

1 1

10 0100 11 10 0111 100 0

10 0100 11 10 0111 1010 0111 10 10 0111 10

10 0100 11 10 0111 100 0

10 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 00 00 0111 100 110 0100 11 10 0111 100 0

10 0101 10 10 0101 001 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

00 0101 10 10 0101 101 110 0111 10 10 0111 100 010 0101 10 10 0101 001 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 0

00 0101 10 10 0101 101 110 0111 10 10 0111 100 010 0101 10 10 0101 001 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 0

00 0101 10 10 0101 101 110 0111 10 10 0111 100 010 0101 10 10 0101 001 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

10 0111 10 00 0111 001 1

01 0101 10 00 0101 101 110 0100 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 00 00 0111 100 1

00 0101 10 10 0101 101 110 0100 11 10 0111 100 0

10 0111 11 10 0111 100 010 0111 10 10 0111 101 110 0110 11 10 0111 100 0

10 0111 10 10 0111 100 010 0111 10 10 0111 100 0

10 0110 11 10 0111 100 0

10 0100 11 10 0111 100 0

10 0111 11 10 0111 100 010 0111 10 10 0111 101 110 0110 11 10 0111 100 0

Page 14: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted14

Heat MapEnterprise Manager

Page 15: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted15

Heat Map for Tables and Partitions“segment” level tracking

Page 16: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted16

Heat Map for Blocks“row” level tracking

Page 17: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted17

0101101110101010010100100100001000

1010101101001011010011100001010010

Archive Data

011100001010001011011

101010100101001001000

010001010101101001011

010101001010010010001

Automatic Data Optimization Usage Based Data Compression

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted17

Hot Data

3X Advanced Row Compression

Warm Data

10101010111010100110101110000101000

10110111010101001010010010000100010

10101101001011010011100001010010010

1000010010000100010101011010010

10X Columnar Query Compression

1000010100100101001010110111000010

1010101011101010011010111000010100010110111

010101001010010010000100010101011010010110

10011100001010010010100001001000010001010

101010101110101001101011100001010001011011

15X Columnar Archive Compression

011101010100101000010001010101011100001010

101010101110101001101011

10000101000101101110101

01001010010010000100010

101011010010110100111000

01010010010100001001000

01000101010111001101010100101001001000010001

1110010100100101001010110111011010

101010101110101001101011100001011101011001

Page 18: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted18

Compress Rows Based on Usage “background row compression”

SQL> ALTER TABLE EMPLOYEE ILM ADD POLICY ROW STORE COMPRESS ADVANCED ROWAFTER 1 DAY OF NO MODIFICATION

Page 19: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted19

Compress Partitions Based on UsageAutomatic Data Optimization with HCC

SQL> ALTER TABLE ORDERS ILM ADD POLICY COMPRESS FOR QUERY HIGH SEGMENT AFTER 30 DAYS OF NO MODIFICATION

Page 20: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted20

Optimize Data Storage Based on UsageAutomatic Data Optimization with HCC

Optimized use of Row Store & Column Store within a single table

– Row Format - Insert / load data as fast as possible

– Fast analytics & reporting – data optimized in columnar format for analytics

Page 21: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted21

Automatic Data Optimization

This Quarter This Year Prior Years

Row Store for fast OLTP

Compressed Column Storefor fast analytics

10x compressed15x compressed As data cools

down, Advanced Data Optimization automatically converts data to columnar compressed Online

Archive Compressed Column Storefor max compression

Reporting Compliance & ReportingOLTP

Page 22: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted22

Up to 15x Smaller Footprint & Faster Queries

Both Columnar & Archive Compression now complement Advanced Row Compression

Best Practice:– Step 1: Use Advanced Row Compression for entire DB and then

– Step 2: ADO automatically converts into columnar compressed once the updates cool down, and is used mainly for reporting

=> Query speed of Columnar & 10x smaller footprint

– Step 3: ADO automatically converts into archive compressed once data cools down further and is no longer frequently queried

=> 15-50x smaller footprint

Automatic Data Optimization for OLTP

Page 23: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted23

Optimizes Data Based on Heat MapAutomatic Data Optimization for DW

Data generally comes in via Bulk Loading Workload dominated by queries, even during loading

Step 1: Bulk Load directly into Columnar Compressed

– 10x smaller footprint, Query speed of Columnar

Step 2: ADO automatically converts to Archive Compressed and moves to Lower Cost Storage once its queried infrequently

– Data remains online, with 15-50x smaller footprint, & lower storage cost

Page 24: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted24

Fast, Flexible Loads & Queries on Columnar

Fastest Load with uncompressed & Fastest Queries with columnar– Mixed workloads often use Java app or 3rd party tools to insert and update data

that does not use Bulk Loads, so cannot use Columnar

Step 1: Load into uncompressed, conventional inserts & updates– Fast loading, & flexibility of using a regular OLTP app for loading

Step 2: ADO moves to Row Compressed or Columnar Compressed or Low Cost Storage once updates cool down

– Faster Queries, 3-10x smaller footprint

Automatic Data Optimization – Mixed Use

Page 25: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted25

Storage Tiering – How it Works?Automatic Data Optimization

1. Tables grow in size ADO policies compress data

2. Tablespace containing partitions reaches ADO tiering threshold

3. Partitions are moved to different tablespace on lower spec disk group

+DATA

(High Perf)

+DATA_LOW

(Low Cost)

Page 26: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted26

Powerful Policy Specification Automatic Data Optimization

Declarative Policy Specification: Condition Action– alter table sales ilm add policy compress for OLTP row after 3 days of no

modification;

– Conditions are time period after creation, access, modification of data

– Actions can be Compression Tiering or Tablespace Tiering

Policies are inherited from the tablespace or table– New tables inherit from tablespace; can also be applied to existing tables

– New partitions (including interval partitions) inherit from table

Page 27: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted27

Simple Declarative SQL extensionAutomatic Data Optimization

ALTER TABLE sales ILM add

Active

Frequent Access

Occasional Access

Dormant

OLTP Compressed (2-4x) Affects ONLY Candidate Rows Cached in DRAM & FLASH

compress for OLTP row after 2 days of no update

Warehouse Compressed (10x) High Performance Storage

compress for query low after 1 week of no update

Warehouse Compressed (10x) Low Cost Storage

tier to SATA Tablespace

Archive Compressed (15-50X) Archival Storage

compress for archive high after 6 months no access

Page 28: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted28

Storage Tiering - Policy Automatic Data Optimization

SQL> ALTER TABLE EMPLOYEE ILM ADD POLICY TIER TO LOW_COST_TABLESPACE

Page 29: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted29

Scheduled Policy ExecutionAutomatic Data Optimization

Immediate and background policy execution

– Row level policies are executed periodically

(Users can configure the frequency of execution)

– Segment level policies are executed in maintenance windows

Policies can be extended to incorporate Business Rules

– Users can add custom conditions to control placement

(e.g. 3 months after the ship date of an order)

Page 30: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted30

Optimized Backups Automated READONLY data movement

1. Tables grow in size ADO policies compress data

2. Tablespace containing partitions reaches ADO tiering threshold

3. Partitions are moved to new read only tablespace on lower spec disk group

Page 31: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted31

Optimized Backups Automated READONLY Data Movement

SQL> ALTER TABLE EMPLOYEE ILM ADD POLICY TIER TO DATA2 READ ONLYAFTER 180 DAYS OF NO MODIFICATION

Expected syntax for production..

Page 32: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted32

Backup & Recovery Automatic Data Optimization

Read / WriteTablespace

Read-mostly data is moved to a READONLY Tablespace

10x compressed15x compressed

READONLYTBS

As data cools down, Automatic Data Optimization automatically moves it to a READONLY TBS, it’s backed up only once after that

Reporting Compliance & ReportingOLTP

Page 33: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted33

More Compression FeaturesNew in Oracle Database 12c

Logminer and GoldenGate support Capture side changes in 11.1 logminer Apply side changes in 11.2

Faster queries on advanced row compression

Wide tables (>255 columns) for advanced row (OLTP) compression

Network Compression

Page 34: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted34

SummaryHeat Map & Automatic Data Optimization

Heat Map

– Automatically tracks access

– Database-aware: maintenance jobs, backups, etc don’t affect Heat Map Automatic Data Optimization

– Declarative easy-to-use syntax to define data compression & movement policies

– Extensible with business-specific logic

Page 35: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted35

Graphic Section Divider

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Page 37: „Automate Information Lifecycle Management with Oracle Database 12c” Krzysztof Marciniak, Senior Sales Consultant, Oracle Polska

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Confidential Restricted37

Oracle Database 12c introduces Automatic Data Optimization capabilities which allow organizations to use policy-based management to automate data compression and movement with minimal administration. In this session you’ll learn how Heat Map provides deep insight into how your data is accessed by users and applications to trigger Automatic Data Optimization policies that reduce the costs associated with storing and managing more data, while improving database performance.

Abstract