OBIA (Oracle Business Intelligence Applications)
Pre Built ETL process and tools use to configure, modify, handle, examine and maintaining the Database Warehouse Console.
ETL Process means extracting the data from various types of sources and transforming to staging area of warehouse.
Some data sources will require very little or even no manipulation of data.
The transform stage applies a cycle of rules or functions to the extracted data from the source to derive the data for loading into the end target.
In the load stage, it loads the data into the end target, usually the data warehouse (DW). Depending on the requirements of the organisation, this process varies widely
OBIA ARCHITECTURE |
Some of the pre built ETL Components are
Mappings and work flows in informatica are prebuilt for OBIA for various types of data sources.
Repository and Integration services of informatica are prebuilt process for the OBIA applications in the informatica mappings and work flows.
Each Source system has different mapping and mapplets, work flows definition in informatica.
ETL Informatica tool is used to edit, configure, creating, extending, customising and testing the prebuilt informatica mappings and work flows.
Data warehouse Administration Console (DAC) monitors and controls the flow of load of data from source to target. DAC server and client with prebuilt meta data for configuring, monitoring and running the ETL process for specific source containers.
DAC used to schedule the loading of data from source tables to target tables in the source containers.
OBIA Component:
According to Oracle Business Intelligence Applications Installation and Configuration Guide
According to Oracle Business Intelligence Applications Installation and Configuration Guide
Component
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Description
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DAC
metadata repository files
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This content
includes repository objects such as tables, subject areas, execution plans,
and tasks, and is contained in XML files.
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Embedded
Informatica ETL Tool
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This is a
third-party application that performs the extract, transform, and load
operations for the Data Warehouse.
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Prebuilt Informatica content
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This content
includes Extract-Transform-Load (ETL) repository objects, such as mappings,
sessions, and work flows, and is contained in the Informatica repository file
(Oracle_BI_DW_Base.rep).
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Prebuilt
metadata content
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This
meta data content is contained in the Oracle Business Intelligence
Applications repository file (OracleBIAnalyticsApps.rpd).
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Prebuilt
reports and dashboard content
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This content
is contained in the Oracle BI Presentation Services Catalog.
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Oracle
Business Analytics Warehouse
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The prebuilt
data warehouse that holds data extracted, transformed, and loaded from the
transactional database.
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Some of the Data Sources:
Oracle EBS
People soft
Siebel Source system
JD Edwards
Others
ETL Overview
ETL consists of three components in OBIA Extract, transform—Staging, Load process.
Extracting data from source system and creating staging area for each and every module of applications.
Extracts and consolidates data from one or more source systems and loads into the data warehouse staging tables.
Transforms data in the staging tables and computes calculated values in preparation for the load.
Generates and maintains data warehouse surrogate keys and loads target dimension and fact tables.
Some of the modules like financial, human resource, Supply Chain, procurement, sales, Inventory, Marketing. Etc
Loading of data from source of staging to target tables are in three modes,
Batch ETL (Full or incremental)
Micro ETL
Direct Access to source data from Oracle Bi server
Data Extraction and Load Process:
Source Dependent Extract (SDE) mappings – extracts the data from the transactional systems and loads to the data warehouse staging tables. SDE mappings are designed with respect to the source’s unique data model.
Source specific data will get convert to target tables
While on load of bulk mode if it is interrupted it won’t start at the middle of run, it will get restart of the loading.
While on Normal mode it will get restart even the load is interrupted.
Normal load writes one record at a time.
OBIA ARCHITECTURE |
Source Independent Load (SIL) mappings – extracts and transforms data from the staging tables and loads to the data warehouse target tables. SIL mappings are designed to be universal with any source
Solve foreign key for the dimension tables.
Slowly Changing Dimension 2 concept will carry out if a new record created.
Look up at currency exchange
Generating surrogate key
Defines insert, update, reject while updating rows in source table to target table
Load data as bulk mode.
OBIA ARCHITECTURE |
Post Load Processing (PLP) mapping, which is used to load aggregate tables after target tables have been loaded. This mapping is designed to be source independent.
DAC (Data Warehouse Administration Console)
In data ware house it creates the physical data model, sets the language, currency, time and other settings.
Designing the subject areas to implement, build and run execution plans.
ETL plans will be generated and executed to load the data from source to target.
Error monitoring will carry out during the execution of plans, generates the mail (email Alerts) over the run of plan when errors come.
Structured ETL analysis and reporting will be performed.
Full and incremental load will perform according to the optimisation rule by automated.
Resets from the failure of execution.
Data Model
In general Data Model defines the relation or communication between the client business requirements and technical people.
In terms of data ware house data model – managing large quantity of data as structured and unstructured data model.
Some of the data models are sales, service, marketing, Distribution, finance, human resource operations, workforce and procurement.
In data ware house it creates the physical data model, sets the language, currency, time and other settings.
Tracking historical changes of data from multiple data sources.
Data Models classified into 3 types of model
· Conceptual Model
· Logical Model
· Physical Model
Oracle BI server - Repository
Importing Data sources to physical layer in the Admin tool and making joins for the tables.
Creating logical models in the BMM layer and building measure columns.
Mapping the tables and columns from physical layer to BMM layer and Presentation layer.
Creating different subject areas from BMM layer, creating Hierarchy’s in BMM layer.
Calculated metrics across multiple facts. Creating aggregate navigation.
Creating Time series metrics like ago function, to date function, snapshot at any point of time
Security implementation for the subject areas.
Physical Layer – Importing joins, creating Alias.
BMM layer – Creating logical columns, measure columns, aggregate navigation, hierarchy
Presentation Layer – Subject areas, Security
Presentation Catalog/Dashboards
Dashboards, reports, analysis are created in the BI answer side using the subject areas created in Admin tool.
Navigation - Drill Down, Drills to detailed level of the report (in Analysis, graph)
Guided Navigation – Conditional format navigation links, work flows.
Action Links –provides a good feature to show the links in drop down. This option can come into picture when we are navigating to a separate report/page/web pages etc.
This reduces the dashboard complexity by displaying more links on the page and consuming the space in the page. We can open the new analysis in the same window or to a new window.
Alerts / Agents / iBots – scheduling the dashboards, analysis to particular email or user.
Security – Dashboard level of accessing the reports and dashboards using security privileges
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