oracle openwo2014 review part 03 three_paa_s_database
TRANSCRIPT
Team AMIS
16th October 2014
Review Oracle OpenWorld 2014Part Three – PaaS - Database
2
Database Cloud
3
Same as on premise
• Easy to use
• Self service provisioning
• Pay as you go (on size and transfer)
4
3 types
5
Services
6
Architecture
7
Interface
8
Voice reporting
Reporting generator with a template and placehoders for data
Combining template with actual report data
Create a video reporting with animation
And audio voice report
Based upppon structured language and HTML5 / Javascript feature in your browser.
9
10
Multitenant
• Cloud On Premise• Consolidate
– Physical resources, Human resources
• Admin ease– Clone, Move (between container databases), Upgrade-by-move
• Middleware starting to work with (multitenancy) and emulate it
11
OOW 2013:In Memory Database Option
12
12c In Memory
• Released in 12.1.0.2 – June 2014• Data in RAM
– Not just all data in SGA– And: Compressed, Columnar format – as opposed to Row format
13
Some real life results
14
Oracle Applications – optimized on and now certified with In Memory option
16
Oracle Database 12.1.0.2: Native JSON Support
• Database recognizes JSON documents– Store schemaless in VARCHAR2 and CLOB– Test for (IS JSON) and enforce valid-ness (Check)– Extract value and JSON snippet
(JSON_VALUE, JSON_QUERY)– Project JSON document as relational source
(JSON_TABLE)– Indexing
• Not yet– PL/SQL support– Document creation– XMLType and/or UDT/ADT JSON conversion
17
Beyond Oracle Database 12.1.0.2 Native JSON Support
• PL/SQL support– Mapping to and from Object Types (ADT/UDT)– Generic JSON type– PL/SQL API
• Document creation– JSON_OBJECT and JSON_ARRAY– Nested operators (somewhat similar to SQL/XML??)
• Support for related serialization formats– AVRO, BSON, ProtoBuf
18
SQL across relational and not-so-relational using native JSON
19
External Tables for Hadoop HIVE and HDFS
20
SmartScan on Hadoop cluster
21
Big Data SQL
• Big Data Lite VM - http://www.oracle.com/technetwork/database/bigdata-appliance/oracle-bigdatalite-2104726.html
22
Oracle REST Data Services
• Declaratively transform database data into JSON, and other Web interchange formats, and expose that data over HTTP with strong support for key principals of the REST style.– Uniform Methods: GET, POST, PUT, DELETE, PATCH– Hyperlinks As The Engine of Application of Application
State (HATEOAS)– Entity Tags, Conditional Operations, Optimistic Locking– Secured with Industry Standard protocols: HTTPS,
OAuth 2.0
23
ORDS – Oracle REST Data Services
• http://www.oracle.com/technetwork/developer-tools/rest-data-services/overview/index.html
24
SODA: Simple Object Data Access – Java API for JSON
• Announced: planned availability of a Java API to access database and retrieve data in JSON format – similar to ORDS– Very simple
mechanism to access data
25
Simple Object Data Access
26
DB 12c Cool features
– New SQL clause to aggregate data across PDB’s
Select ENAME from containers (scott.EMP) where CON_ID in (45, 49)
SQL
Cross PDB Queries
27
APEX
• APEX 5.0– Beta program– Production Spring 2015?
APEX 5.0 Early Adopter 2
• Super Polished
• Developer UX
• Page Designer
• Universal Theme
• Enhanced reporting
• Resource caching, Modal dialogs, Packaged Apps, New Calendar and more
APEX 5.0 - UX
APEX 5.0 – Page Designer
APEX 5.0 – Universal Theme
• 1 theme to rule them all
• No longer a gazillion templates
• Responsive
• Highly customizable with template options
APEX 5.0 – Enhanced reporting
• More than 1 interactive report
• New UI
• Easier customization
APEX 5.0
• Polish
• Polish
• Polish
• Coming soon to a database near you
A
Practical application
• Instant environment
• Private development environment
• Sizing “sandbox” in Private Cloud
36
37
Forms
• 12c announced (as part of FMW 12.2.1?)• Few features planned• Booth at demo grounds
38
Forms 12c ….
39
BIG data
40
BIG data ……..
41
Data From Many Sources
• Social Media, Sensor Data, Biological, Traffic, RFID Data, Environmental, Aerial, Wireless, Security & Video Data, Retail, Medical, Engineering Systems, Search Data, Photographs, Call Records, CRM/ERP data, etc
42
What is Big Data and Big Data Analytics?
• Big Data applied to non-structured data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time.
• Big Data Analytics is the process of leveraging data that is too large in volume, too broad in variety and too high in velocity to be analyzed using traditional methodologies.
43
Volume, velocity, Variety
45
Oracle’s new In-Memory Option*
• 100x faster real time analytics queries • 2x faster OLTP & 3-4x faster INSERTS • Oracle demo showed Wikipedia query 1354x faster than NO INDEX vs.
NO INDEX using In-Memory (Drop analytics indexes?)
• Easy settings** (“flip a switch”):– inmemory_size = 2000G– alter table EMP inmemory; (also alter for individual partition)
• * Announced /not yet available (loaded on startup/first access) • ** No documented/undocumented parameter in current version.
46
Much Much Much Faster
47
In Memory is Configurable
• Exclude some columns from going into the IM (default is all columns go into IM):
• SQL> ALTER TABLE emp INMEMORY NO INMEMORY (ename, job, mgr, hiredate, deptno, sal, comm);
• Table altered. • •The example above shows how to only put empno column into the IM
Column Store
49
Big Data Analytics
50
Oracle Big Data Discovery
51
Oracle Big Data Discovery
52
Big Data Discovery
53
Big Data Discovery
54
Big Data Discovery
55
Big Data Processing
• (however) Big Data is (also) Raw Data• Processing Big Data requires ‘exotic’ tools and skills• Another Approach: Big Data SQL
56
Oracle Big Data SQL
57
Oracle Big Data SQL
58
SOA Suite Cool Feature
• Sometimes, your XML messages contain sensitive information.
• When moving messages from one system/layer to the next, you can use various encryption policies and techniques to protect that information.
• If that information is not needed inside the SOA Suite, you can move it through in encrypted form – no problem
• But what if you need it for (for instance) content based routing, or enrichment? You need to decrypt the field. And that means it might become available in audit trail information (and therefore in the dehydration store) in unencrypted form.
• SOA Suite 12c will offer a feature to keep sensitive information out of the audit trail, while still providing access to other, non-sensitive parts of the message.
59
Big Data is just the start to handle IoT
60
Creating the Most Big Data in the Future: IoT
•
61
Everywhere
•
62
Oracle’s IoT Platform
•
63
Oracle’s IoT Architecture
•
64
Be Aware !! Shodan will find you
•
65
Piece of Pi(e)
66
IoT in FMW HOL
67
IoT in FMW HOL