OBIEE Architecture
Prerequisites
*
• What is Business Intelligence?
• What are BI needs and challenges?
• What is Data Warehousing?
• What are the traditional ways to organize Data?
• What is the difference between Transactional and
Analytical Systems?
• What is a Dimension / Fact / Star Schema?
• What are various available BI tools in the
industry?
• * Should have covered by E0 and E1 levels
14 March 2016
OBIEE - Unified Business Intelligence Infrastructure
Interactive Reporting & Ad-hoc
Dashboards Publishing Analysis
Proactive Disconnected MS Office
Plug-in
Detection Analytics
and Alerts
Web
Services
Simplified Business Model and Abstraction Layer
Oracle
Intelligent Caching Services
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
OLTP & ODS
Data Warehouse
SAP, Oracle
Files
Systems
Data Mart PeopleSoft, Siebel, Excel
Custom Apps
XML
Advantages:
Consolidate and
standardize BI tools
Seamless user
experience across
products
Unified metadata
and shared
services
BusinessMulti-Dimensional
Process
Sources
-3-
14 March 2016
Oracle BI EE Architecture
Web Server
SAW Bridge (J2EE/ISAPI)
(IIS, Tomcat, Websphere, iPlanet)
Oracle BI Web
TCP/IP (SSL)
Web
Catalog
Service
SOAP Web Services, XML and URL Interface
Oracle Interactive
Dashboards
Oracle Delivers Server
Agent Execution Logic
Device Adaptive Content
Oracle Answers
User Profiling, Security and Session Mngmt
Scheduling/Event Services
TCP/IP
(SSL)
XML, HTML,
XLS, PDF, TXT
over
HTTP/HTTPS
Cache Services (Web) & Connection Mngmt
XML
Framewor
k
Session Management
Query Govern.
Custom Authenticator
Cache
Services
Logical Request
Generation
Navigator
Multi-Pass /
Sub-Request
Logic
Fragmentation
Optimization
Aggregate
Navigator
Optimized Query
Rewrites
Execution Engine
System / Perf MonitoringMetadata Interchange
Load Balancer
Security Services
DB Authentication
External Applications and Portals
Oracle BI Administration
Logical SQL ODBC/JDBC (Logical Business Model)
Intelligent Request Generation
Externalized
Authentication
LDAP
Javascript
for Usability & Interactivity
ODBC over TCP/IP (SSL)
Oracle BI Server
Oracle BI
Cluster Controller
HTML, SOAP
over
HTTP/HTTPS
Web Browser
Metadata Management Services
Multi-User Development
Services
Metadata Documentation
Services
Server Management Services
Data Source Adapters
ODBC, CLI, OCI, XML, MDX
Analytical and Operational Data Sources
14 March 2016
Oracle BI EE Architecture continued…
Web Server
SAW Bridge (J2EE/ISAPI)
(IIS, Tomcat, Websphere, iPlanet)
Oracle BI Web
TCP/IP (SSL)
Web
Catalog
Service
SOAP Web Services, XML and URL Interface
Oracle Interactive
Dashboards
Oracle Delivers Server
Agent Execution Logic
Device Adaptive Content
Oracle Answers
User Profiling, Security and Session Mngmt
Scheduling/Event Services
TCP/IP
(SSL)
XML, HTML,
XLS, PDF, TXT
over
HTTP/HTTPS
Cache Services (Web) & Connection Mngmt
XML
Framewor
k
Session Management
Query Government
Custom Authenticator
Cache
Services
Logical Request
Generation
Navigator
Multi-Pass /
Sub-Request
Logic
Fragmentation
Optimization
Aggregate
Navigator
Optimized Query
Rewrites
Execution Engine
System / Perf MonitoringMetadata Interchange
Load Balancer
Security Services
DB Authentication
External Applications and Portals
Oracle BI Administration
Logical SQL ODBC/JDBC (Logical Business Model)
Intelligent Request Generation
Externalized
Authentication
LDAP
Javascript
for Usability & Interactivity
ODBC over TCP/IP (SSL)
Oracle BI Server
Oracle BI
Cluster Controller
HTML, SOAP
over
HTTP/HTTPS
Web Browser
Metadata Management Services
Multi-User Development
Services
Metadata Documentation
Services
Server Management Services
Data Source Adapters
ODBC, CLI, OCI, XML, MDX
Analytical and Operational Data Sources
14 March 2016
Oracle BI EE Architecture
Web Server
SAW Bridge (J2EE/ISAPI)
(IIS, Tomcat, Websphere, iPlanet)
Oracle BI Web
TCP/IP (SSL)
Web
Catalog
Service
SOAP Web Services, XML and URL Interface
Oracle Interactive
Dashboards
Oracle Delivers Server
Agent Execution Logic
Device Adaptive Content
Oracle Answers
User Profiling, Security and Session Mngmt
Scheduling/Event Services
TCP/IP
(SSL)
XML, HTML,
XLS, PDF, TXT
over
HTTP/HTTPS
Cache Services (Web) & Connection Mngmt
XML
Framewor
k
Session Management
Query Govern.
Custom Authenticator
Cache
Services
Logical Request
Generation
Navigator
Multi-Pass /
Sub-Request
Logic
Fragmentation
Optimization
Aggregate
Navigator
Optimized Query
Rewrites
Execution Engine
System / Perf MonitoringMetadata Interchange
Load Balancer
Security Services
DB Authentication
External Applications and Portals
Oracle BI Administration
Logical SQL ODBC/JDBC (Logical Business Model)
Intelligent Request Generation
Externalized
Authentication
LDAP
Javascript
for Usability & Interactivity
ODBC over TCP/IP (SSL)
Oracle BI Server
Oracle BI
Cluster Controller
HTML, SOAP
over
HTTP/HTTPS
Web Browser
Metadata Management Services
Multi-User Development
Services
Metadata Documentation
Services
Server Management Services
Data Source Adapters
ODBC, CLI, OCI, XML, MDX
Analytical and Operational Data Sources
14 March 2016
Oracle BI Server
Simplified Logical Model
The Oracle BI server presents as a logically modeled
database enabling the Common Enterprise Information
Model.
This provides powerful calculation, computation and
federation capabilities to 3rd party tools as well as our
own.
14 March 2016
Oracle BI EE Architecture
Web Server
(IIS, Tomcat, Websphere, iPlanet)
TCP/IP (SSL)
Oracle BI Web
Intelligent Request Generation
SOAP Web Services, XML and URL Interface
Oracle Delivers
Server
Integration
of Real
time and
Scheduling/Event Services
warehouse Data
Agent Execution Logic
Device Adaptive Content
TCP/IP
(SSL)
Oracle Interactive
Dashboards
Web Browser
SAW Bridge (J2EE/ISAPI)
Web
Catalog
Service
Oracle Answers
User Profiling, Security and Session Mngmt
XML, HTML,
XLS, PDF, TXT
over
HTTP/HTTPS
XML
Framework
ODBC over TCP/IP (SSL)
Oracle BI Server
Query Govern.
Security Services
Authentication
LDAP
Function to use appropriate data
DB Authentication
sources/Compensation
Custom Authenticator
Cache
Services
Navigator
Multi-Pass /
Sub-Request Logic
Fragmentation
Optimization
Aggregate
Navigator
Optimized Query Rewrites
Execution Engine
Metadata Interchange
Session Management
Intelligent Request Generation
System / Perf Monitoring
Load Balancer
Logical Request Generation
Regardless ofExternalized
Schema
Oracle BI Administration
Logical SQL ODBC/JDBC (Logical Business Model)
Multiple sources
Optimized SQL generation
External Applications and Portals
Cache Services (Web) & Connection Mngmt
Integration into Enterprise Portals
Oracle BI
Reads
in system catalog
Cluster Controller
HTML, SOAP
over
HTTP/HTTPS
Javascript
for Usability & Interactivity
Metadata Management Services
Multi-User DevelopmentDB2
Services
Supply
Metadata Documentation
Services
Chain
DM
Server Management Services
Teradata
OLAP
Oracle
ERP.
XML Data
Source
Excel SpreadSheets
SQL Server
Acxiom
Data Source Adapters
ODBC, CLI, OCI, XML, MDX
Analytical and Operational Data Sources
Siebel
14 March 2016
Operational
Oracle BI Server
Siebel
Analytics Server
Oracle
BI Server






Multi-source tuning and load balancing
Parallel
Clustering
Services
Execution
Engine
Intelligent
Parallelmulti-level
Query Execution
Caching Engine
High
Intelligent
Multi-Level
Caching
Services
performance
Siebel Server
execution
Scheduling
Scheduling
Services
(Batch
and/or
Event-Driven)
Services
(Batch
and/or
Event-Driven)
Seamless
Data Mining
Services
aggregate
and fragment navigation
Common Enterprise Information Model
Metadata Services

Simplified business model view and
Open Intelligent Interface

Business calculation & analytic engine
– Without managed data store

Revolutionary request generation
and optimized data source access

Insight from largest data warehouses
and across data sources, systems
– Analytical, Operational, Transaction, External
– Relational, MDX, Host, XML, Other

Rapid implementation/customization and extensible architecture

Market-leading scalability, availability,
reliability, performance and TCO
Multidimensional Calculation Engine
Aggregation and Integration Services
Intelligent Request Generation and
Optimized Data Access Services
14 March 2016
Oracle BI Server
Siebel
Analytics Server
Oracle
BI Server






Multi-source tuning and load balancing
Parallel
Clustering
Services
Execution
Engine
Intelligent
Parallelmulti-level
Query Execution
Caching Engine
High
Intelligent
Multi-Level
Caching
Services
performance
Siebel Server
execution
Scheduling
Scheduling
Services
(Batch
and/or
Event-Driven)
Services
(Batch
and/or
Event-Driven)
Seamless
Data Mining
Services
aggregate
and fragment navigation
Common Metadata
• Physical to logical business model
• “Roadmap to data”
Historical data
Common Enterprise Information Model
Metadata Services
Real-time data
Inventory data
Multidimensional Calculation Engine
Aggregation and Integration Services
Intelligent Request Generation and
Optimized Data Access Services
14 March 2016
Oracle BI Server
Siebel
Analytics Server
Oracle
BI Server






Multi-source tuning and load balancing
Parallel
Clustering
Services
Execution
Engine
Intelligent
Parallelmulti-level
Query Execution
Caching Engine
High
Intelligent
Multi-Level
Caching
Services
performance
Siebel Server
execution
Scheduling
Scheduling
Services
(Batch
and/or
Event-Driven)
Services
(Batch
and/or
Event-Driven)
Seamless
Data Mining
Services
aggregate
and fragment navigation
Calc & Integration Engine
• Function ship to appropriate data
sources/Compensation
• Optimized performance
• SQL < SQL + Oracle BI Server
Common Enterprise Information Model
Metadata Services
• Time Series, Level based Measures
Multidimensional Calculation Engine
Aggregation and Integration Services
Intelligent Request Generation and
Optimized Data Access Services
14 March 2016
Oracle BI Server
Siebel
Analytics Server
Oracle
BI Server






Multi-source tuning and load balancing
Parallel
Clustering
Services
Execution
Engine
Intelligent
Parallelmulti-level
Query Execution
Caching Engine
High
Intelligent
Multi-Level
Caching
Services
performance
Siebel Server
execution
Scheduling
Scheduling
Services
(Batch
and/or
Event-Driven)
Services
(Batch
and/or
Event-Driven)
Seamless
Data Mining
Services
aggregate
and fragment navigation
Common Enterprise Information Model
Metadata Services
Intelligent Request
Generation
• Optimized SQL
generation
• e.g., “Show me sales
through today for my
highest value customer.
Assure sufficient
inventory.”
DM/
DW
Historical sales
Multidimensional Calculation Engine
Aggregation and Integration Services
Intelligent Request Generation and
Optimized Data Access Services
ODS
Today’s sales
Rel. to available
inventory
Inv.
System
14 March 2016
Sample Request Processing
1.
2.
3.
4.
5.
6.
User views a dashboard or submits an Answers request
The OBI Presentation Server makes a request to the OBI Server to retrieve the
requested data
The OBI Server using the .rpd file, optimizes functions to request the data from the
data sources
The OBI Server receives the data from the data sources and processes as necessary
The OBI Server passes the data to the OBI Presentation Server
The OBI Presentation Server formats the data and sends it to the client
1
Clients
6
OBI
Presentation
Server
2
3
OBI Server
5
Data Sources
4
14 March 2016
A Day in the Life of a Query
14 March 2016
A Day in the Life of a Query
A logical request comes in asking for




Brand,
Closed Revenue (GL)
Service Requests (Call Center)
Share of Revenue (Derivation)
14 March 2016
A Day in the Life of a Query
Oracle BI Server Cache
The Server will check to see if this request
can be fulfilled via a prior request using
Server Cache.
This is an on-demand intelligent shareable
and secure cache that can support:
Subsets, Aggregations and Derivations
14 March 2016
A Day in the Life of a Query
Navigator
If it is the request is cannot be fulfilled by
cache then the server will intelligently
process the request
14 March 2016
A Day in the Life of a Query
Multi-Pass/Sub-Request Logic
Does this analysis require sophisticated
analysis such as an OLAP calculation?
[Revenue Share]
The Server will determine the best
possible way to provide this
calculation/computation
14 March 2016
A Day in the Life of a Query
Fragmentation Optimization
Does this request span across partitions
or silos of data?
[Closed Revenue and Service Requests]
The server will determine based on the
request if it should navigate to both or only
one. It will automatically resolve fan traps.
14 March 2016
A Day in the Life of a Query
Aggregate Navigator
Is there an aggregate that can better
satisfy this request versus hitting the
detail?
{Brand Summary Table}
The Server will apply approprate summary
redirection to provide the quickest
response.
14 March 2016
A Day in the Life of a Query
Optimized Query Rewrites
What can be function-shipped down to the
database versus performed
/supplemented by the computation
capabilities of the Server.
The server will provide a consistent set of
functionality to the user regardless of
underlying datasource.
14 March 2016
A Day in the Life of a Query
Cache Services
The request once executed will now be
available to other users as a cache entry.
14 March 2016
Oracle BI Server
System Services
System Services
Clustering:
Add stacks as needed in a share nothing
clustered environment.
Session Management and Governance:
Query throttling via connection pools and
authorization
Security Services:
Integration with OID, LDAP with
sophisticated data driven personalization
mechanisms.
14 March 2016
High Availability Deployment
Replicated
Repository
Stack 1
Web
Server
Web
Catalog
Scheduler Process
Oracle
Analytics Web
Load
Balancer
Application
DW
Web
Server
Cluster
Controller
Stack 2
Users
Oracle BI
Server
Scheduler
Database
Single
Sign-on
Server
LDAP
Server
Oracle
Analytics Web
OAW Replication
Agent
Web
Catalog
Oracle BI
Server
Other
Mart/DW
Master
Repository
Administration
Tool
14 March 2016
OBIEE Clustering
OBIEE Clustering Components
• Cluster Controller
– Primary Cluster Controller
– Secondary Cluster Controller
• Clustered BI Servers
• Master BI Server
• BI Scheduler
• Cluster Manager
Failover Mechanisms
Cluster Aware Cache
14 March 2016
Webcat Replication
• Scenario:
– Instance 1 – Master Instance Sharing Application
– Instance 2, Instance 3 – Secondary Clustered Instances exposed to Users
• ‘Sawrepaj’ setup for the replication on both Windows and Unix environments for
performing replication as below
/shared: Instance1 to Instance2
/shared: Instance1 to Instance3
/users: Instance2 to Instance3
/users: Instance3 to Instance2
• Edit instanceconfig.xml to enable Replication
• Maintain Log Files of Replication
14 March 2016