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Transcript of Day1 Free Seminar
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7/30/2019 Day1 Free Seminar
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Introduction to Data Warehousing an 1
WELCOME TO SICHER GLOBAL
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Introduction to Data Warehousing an 2
AGENDA FOR DISCUSSION
INTRODUCTION TO DATAWAREHOUSE
CHARATERISTICS OF A WAREHOUSE TYPES OF A WAREHOUSE
GOALS OF A WAREHOUSE
INTRODUCTION TO DIMENSION MODELING
BUSINESS DIMENSIONAL LIFE CYCLE
DIMENSIONAL MODELING VOCABULARY
SLOWLY CHANGIND DIMENSIONS (SCDs)
MODELLING TECHNIQUES
STAR SCHEMA Vs SNOWFLAKE SCHEMA
INTRODUCTION TO OBIEE
OBIEE UNIFIED STRUCTURE
WHY OBIEE?
OBIEE CAPABILITIES
INTRODUCTION TO BI APPS
Q & A SESSION
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Introduction to Data Warehousing an 3
INTRODUCTION TO A DATA WAREHOUSE
A data warehouse is a relational database that is designed for query and
analysis rather than for transaction processing
It usually contains historical data derived from transaction data, and also
can include data from different source systems
It separates analysis workload from transaction workload and enables an
organization to analyze their data for effective Decision making
A data warehouse sources its data from the main operational systems but
performs its own processing and stores the data efficiently to allow the data to
be presented in the most usable format.
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Introduction to Data Warehousing an 4
CHARACTERISTICS OF DATA WAREHOUSE
Subject oriented
Integrated
Non volatile
Time Variant
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Introduction to Data Warehousing an 5
TYPES OF DATA WAREHOUSE
Enterprise Data Warehouse
Includes data from numerous systems
Includes both Summarized and Detailed Data
Can be Terrabytes of Data
Data Mart
Includes only Subset of any Corporate Data (I.e business Unit or Department)
Includes both Summarized and Detailed Data
Avg industry size < = 100 GB of data
Operational Data store (ODS)
Contains Structured Data from generated directly from transaction Systems
Very little or no Summarized or historical Data
Meets day to day operational user needs for ad hoc query Analysis
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Introduction to Data Warehousing an 6
Architecture of a Data Warehouse with a
Staging Area and Data Marts
Architecture of a Data Warehouse with a
Staging Area and Data Marts
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Introduction to Data Warehousing an 7
GOALS OF A DATA WAREHOUSE
The data warehouse must make an organizations information easily accessible
The data warehouse must present the organizations information consistently.
The data warehouse must be adaptive and resilient to change.
The data warehouse must be a secured that protects our information
assets.
The data warehouse must serve as the foundation for improved decision
making.
The business community must accept the data warehouse if it is to be
deemed successful.
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Introduction to Data Warehousing an 8
INTRODUCTION TO DIMENSIONAL MODELING
What is Dimensional Modeling about ?
A technique for designing databases in order to support
performance dashboards, reporting, and business data analysis
A technique for designing databases around measurable business
processes
A data modeling approach that stresses ease of use andperformance
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Introduction to Data Warehousing an 9
THE BUSINESS DIMENSIONAL LIFECYCLE
Technical
Architecture
Design
Product
Selection &
Installation
End-User
Application
Specification
End-User
Application
Development
Project
Planning
Business
Requirement
Definition
Deployment
Maintenance
and
Growth
Project Management
Dimensional
Modeling
Physical
Design
Data Staging
Design &
Development
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Introduction to Data Warehousing an 10
DIMENSIONAL MODELING VOCABULARY
The most common terms used : Dimensions
Facts
Measures
Aggregates
Slowly Changing Dimensions
Conformed Dimensions
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Introduction to Data Warehousing an 11
SLOWLY CHANGING DIMENSIONS - APPROACHES
Type I overwrite changed attributes
Type II mark current row end date and add new row (Type II
rows have two date attributes, i.e. RowEffectiveBeginDate and
RowEffectiveEndDate. Both attributes are stored as date data types.)
Type III track changes by including attributes such as
OriginalAddress, CurrentAddress
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Introduction to Data Warehousing an 12
TYPES OF MODELING
Star Schema
The star Schema is perhaps the simplest data warehouse schema.
It is called a star schema because the entity-relationship diagram of this
schema resembles a star, with points radiating from a central table. Thecenter of the star consists of a large fact table and the points of the star
are the dimension tables.
A star query is a join between a fact table and a number of dimension
tables. Each dimension table is joined to the fact table using a primarykey to foreign key join, but the dimension tables are not joined to each
other
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Introduction to Data Warehousing an 13
TYPES OF MODELING (Contd..)
SnowFlake Schema
The snowflake schema is a more complex data warehouse model
than a star schema, and is a type of star schema. It is called a snowflake
schema because the diagram of the schema resembles a snowflake.Snowflake schemas normalize dimensions to eliminate redundancy.
That is, the dimension data has been grouped into multiple tables
instead of one large table
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Introduction to Data Warehousing an 14
TYPES OF MODELING (Contd..)
Star Schema Example
SnowFlake Schema Example
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Introduction to Data Warehousing an 15
WHEN SNOWFLAKE IS OK?
When used as a sub dimensionThe data in the sub dimension is related to the
dimension are at different levels of granularity
The data load times for the data are differentExamples:
County and state
District and region
Ship and battle group
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Introduction to Data Warehousing an 16
SNOWFLAKE Vs STAR SCHEMA
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Introduction to Data Warehousing an 17
INTRODUCTION TO OBIEE
Oracle Business Intelligence Enterprise Edition (OBIEE)
Oracle Business Intelligence Suite Enterprise Edition (Oracle
BI EE) is a comprehensive suite of enterprise BI products that
delivers a full range of analysis and reporting capabilities.
Oracle BI EE has a unified , highly Scalable and modern
Architecture and provides intelligence and analytics from data
spanning across various Sources and Applications.
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Introduction to Data Warehousing an 18
OBIEE UNIFIED INFRASTRUCTURE
InteractiveDashboards
Reporting &Publishing
Ad-hocAnalysis
MS OfficePlug-in
DisconnectedAnalytics
Proactive Alerts
Oracle
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
OLTP & ODSSystems
Data WarehouseData Mart
SAP, OraclePeopleSoft, Siebel,
Custom Apps
FilesExcelXML
BusinessProcess
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Introduction to Data Warehousing an 19
WHY OBIEE?
Oracle
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
Simplified, powerful and Scalable Intelligence Suite
Simplified Business Logical view
Advanced calculation Engine
Extremely Scalable and good performance
Optimized and Distributed Data Access
Enables Consistency, Security, Reuse, Flexibility
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Introduction to Data Warehousing an 20
MODEL ONCE , DEPLOY EVERYWHERE
Oracle
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
OBIEE has great advantage due to its simplified model . OBIEEcan me modeled once in one environment and can be deployed
everywhere achieving the following
Information Consistency
Information Availability
Quick user Adaptability
Easy Migration of code (File Structures)
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Introduction to Data Warehousing an 21
OBIEE DELIVERY CAPABILITIES
Oracle
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
OBIEE has lot of Built in applications which can satisfy all thebusiness needs in a very efficient and timely manner
Interactive dashboards
Answers
Delivers
BI Publisher
Disconnected AnalyticsBriefing Books
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Introduction to Data Warehousing an 22
SAMPLE DASHBOARDS
Oracle
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
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Introduction to Data Warehousing an 23
PRE INTEGRATED WITH ORACLE SOLUTIONS
Oracle
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
Gives more insight and value from Oracle Applicationswith prebuilt BI Apps based on OBIEE
Integrate OBIEE with the Oracle Applications
(CRM,ERP etc) and drill through from BI to Oracle
Applications via Action Links
Pre-packaged Application DAC which gives the
capability of managing all the ETL solutions from a
Single Console and eases the maintenance .
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Introduction to Data Warehousing an 24
INTRODUCTION TO BI APPS
Oracle
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
BI APPS gives the Prebuilt integrated solutions to extract data
and build OBIEE reports . The Pre Built Solutions are
BI Content ( Pre Built Reports)
Metadata (Pre Built Rpd File)
ETL ( Pre Built Mappings for Siebel,Oracle Apps,SAP etc )
Warehouse ( Pre Built Warehouse table definitions)
DAC ( Pre Built Metadata to control the data)
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Introduction to Data Warehousing an 25
ORACLE BI APPLICATIONS
Oracle
BI Server
Multidimensional Calculation and Integration Engine
Intelligent Request Generation and Optimized Data Access Services
Sales MarketingSupply
ChainFinancials
Human
Resources
Oracle BI Suite EE
Ad-hocAnalysis
Proactive
Detectionand Alerts
MS OfficePlug-inReporting &PublishingInteractiveDashboards DisconnectedAnalytics WebServices
IVR, ACD,
CTI,Flat Files
and other
Data
Sources
Siebel,
People
Soft,oracle
Applications,
SAP
ORACLE BI APPLICATIONS
Pre Packaged
ETL maps
DW
Universal
Adapters
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Introduction to Data Warehousing an 26
SUMMARY
Oracle
BI Server
Model once, deploy anywhere
Hot Pluggable
Pre Integrated with oracle Applications
Common enterprise Information Model
Industry leader
Easy to use, Maintain and Migrate
Easy user Adoption
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Introduction to Data Warehousing an 27
SUMMARY
Oracle
BI Server Q & A
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Introduction to Data Warehousing an 28
SUMMARY
Oracle
BI Server THANK YOU