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Oracle Database 12c:
Extreme Performance for
Cloud Computing
Philip Yu
Sales Consultant
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.

2

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

Database as a Service

Cloud

3

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

Big Data
Released on June 25th 2013
Application Development
Big Data & Data Warehousing
Consolidation
Database as a Service
Data Optimization
High Availability

In-Memory
Performance & Scalability
Security & Compliance

4

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Database Consolidation on Clouds
Traditional consolidation methods
Clustered Databases

Schema Consolidation

Consolidation Density

Virtual Machines

Share Servers
5

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

Share Servers & OS

Share Servers, OS & Database
Oracle Multitenant
Simplifies consolidation, enables Database as a Service
Clustered Databases

Pluggable Databases

Consolidation Density

Virtual Machines

Share Servers
6

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

Share Servers & OS

Share Servers, OS & Database
Oracle Database Architecture
Requires memory, processes and database files
System Resources

7

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
New Multitenant Architecture
Memory and processes required at container level only
System Resources

8

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Oracle Multitenant for Consolidation
More efficient utilization of system resources
System Resources

9

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Oracle Multitenant for Software as a Service
Multitenancy implemented by the Database, not the Application

10

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Oracle Multitenant for Test and Development
Fast, flexible copy and snapshot of pluggable databases

11

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Oracle Multitenant for Database as a Service
Pick from standard sizes and service levels

GOLD
SILVER
✔

✔

12

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

RAC, Data Guard

Data Guard

BRONZE

Backups
Oracle Multitenant for Database as a Service
Trivially migrate tiers as databases become more mission critical

GOLD
✔

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

SILVER

Data Guard

✔

13

RAC, Data Guard

BRONZE

Backups
Delivering Database as a Service
Oracle Enterprise Manager, Oracle Multitenant and Oracle Exadata

14

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Engineered for Database as a Service

15

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

Database as a Service

Cloud

18

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

Big Data
Engineered for Big Data & Data Warehousing
Oracle Big Data
Appliance

Oracle
Exadata

Oracle
Exalytics

Acquire
19

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

Organize

Analyze

Decide
Integrating Hadoop and Oracle Database
Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle Exadata
Oracle Big Data
Appliance

Oracle
Exadata

 Data ingestion
 Batch processing

 Interactive and batch processing

 HDFS, NoSQL Database

 Oracle Database

 Scale-out storage

 Scale-out smart storage

 Java, Pig, Hive, etc.

20

 Data analysis

 Rich SQL and R analytics

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Big Data
v

The Customer’s View

21

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Big Data Analytics
Scalable discovery of business events

“Find transactions that suggest fraudulent activity”
 Recognize event patterns in sequence
 Simplify and scale analysis of Big Data
 Find answers as quickly as possible

23

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Simplifying Big Data Analytics
SQL Pattern Matching with Oracle Database 12c
Select * from
Transactions MATCH_RECOGNIZE (
…
PATTERN(S X{2,4} Y)
DEFINE S AS (type = T),
X AS (loc = PREV(loc)),
Y AS (loc != PREV(loc))
…

)

 Clickstream logs:
– sessionization, search behaviour

 Business transactions:

Ascending Order

– fraud detection, stock analysis

24

Possible fraudulent
banking transactions
defined as regular
expression

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

 Sensor data:
– Automated observations and detections
INTRODUCING
ORACLE DATABASE
IN-MEMORY OPTION

25

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Oracle Database In-Memory Option
Leading edge In-Memory technology
 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

26

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Wikipedia Search Trends Benchmark Results

27

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
Engineered for Clouds and Big Data

Database as a Service

Cloud

28

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

Big Data
29

Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
30

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

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C1 keynote creating_your_enterprise_cloud_strategy
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B6 improve operational_efficiency_through_process_and_document_collaboration
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B3 getting started_with_cloud_native_development
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A3 oracle database 12c extreme performance for cloud computing

  • 1. Oracle Database 12c: Extreme Performance for Cloud Computing Philip Yu Sales Consultant
  • 2. 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. 2 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 3. Customer Initiatives Database as a Service Cloud 3 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Big Data
  • 4. Released on June 25th 2013 Application Development Big Data & Data Warehousing Consolidation Database as a Service Data Optimization High Availability In-Memory Performance & Scalability Security & Compliance 4 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 5. Database Consolidation on Clouds Traditional consolidation methods Clustered Databases Schema Consolidation Consolidation Density Virtual Machines Share Servers 5 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Share Servers & OS Share Servers, OS & Database
  • 6. Oracle Multitenant Simplifies consolidation, enables Database as a Service Clustered Databases Pluggable Databases Consolidation Density Virtual Machines Share Servers 6 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Share Servers & OS Share Servers, OS & Database
  • 7. Oracle Database Architecture Requires memory, processes and database files System Resources 7 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 8. New Multitenant Architecture Memory and processes required at container level only System Resources 8 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 9. Oracle Multitenant for Consolidation More efficient utilization of system resources System Resources 9 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 10. Oracle Multitenant for Software as a Service Multitenancy implemented by the Database, not the Application 10 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 11. Oracle Multitenant for Test and Development Fast, flexible copy and snapshot of pluggable databases 11 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 12. Oracle Multitenant for Database as a Service Pick from standard sizes and service levels GOLD SILVER ✔ ✔ 12 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. RAC, Data Guard Data Guard BRONZE Backups
  • 13. Oracle Multitenant for Database as a Service Trivially migrate tiers as databases become more mission critical GOLD ✔ Copyright © 2013, Oracle and/or its affiliates. All rights reserved. SILVER Data Guard ✔ 13 RAC, Data Guard BRONZE Backups
  • 14. Delivering Database as a Service Oracle Enterprise Manager, Oracle Multitenant and Oracle Exadata 14 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 15. Engineered for Database as a Service 15 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 16. Customer Initiatives Database as a Service Cloud 18 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Big Data
  • 17. Engineered for Big Data & Data Warehousing Oracle Big Data Appliance Oracle Exadata Oracle Exalytics Acquire 19 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Organize Analyze Decide
  • 18. Integrating Hadoop and Oracle Database Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle Exadata Oracle Big Data Appliance Oracle Exadata  Data ingestion  Batch processing  Interactive and batch processing  HDFS, NoSQL Database  Oracle Database  Scale-out storage  Scale-out smart storage  Java, Pig, Hive, etc. 20  Data analysis  Rich SQL and R analytics Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 19. Big Data v The Customer’s View 21 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 20. Big Data Analytics Scalable discovery of business events “Find transactions that suggest fraudulent activity”  Recognize event patterns in sequence  Simplify and scale analysis of Big Data  Find answers as quickly as possible 23 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 21. Simplifying Big Data Analytics SQL Pattern Matching with Oracle Database 12c Select * from Transactions MATCH_RECOGNIZE ( … PATTERN(S X{2,4} Y) DEFINE S AS (type = T), X AS (loc = PREV(loc)), Y AS (loc != PREV(loc)) … )  Clickstream logs: – sessionization, search behaviour  Business transactions: Ascending Order – fraud detection, stock analysis 24 Possible fraudulent banking transactions defined as regular expression Copyright © 2013, Oracle and/or its affiliates. All rights reserved.  Sensor data: – Automated observations and detections
  • 22. INTRODUCING ORACLE DATABASE IN-MEMORY OPTION 25 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 23. Oracle Database In-Memory Option Leading edge In-Memory technology  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 26 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 24. Wikipedia Search Trends Benchmark Results 27 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 25. Engineered for Clouds and Big Data Database as a Service Cloud 28 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Big Data
  • 26. 29 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.
  • 27. 30 Copyright © 2013, Oracle and/or its affiliates. All rights reserved.