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Seminar
On
3- Tier Data Warehouse
Architecture
Presented by:
Er. Jashanpreet
M.Tech- CE
3-Tier Data Warehouse
Architecture
Data ware house adopt a three tier architecture.
These 3 tiers are:
 Bottom Tier
 Mid...
Data Sources:
All the data related to any bussiness organization is stored
in operational databases, external files and fl...
Bottom Tier: Data warehouse
server
Data Warehouse server fetch only relevant information
based on data mining (mining a kn...
Backend Tools & Utilities:
Functions performed by backend tools and utilities
are:
Data Extraction
 Data Cleaning
 Data...
Bottom Tier Contains:
 Data warehouse
 Metadata Repository
 Data Marts
 Monitoring and Administration
Data Warehouse:
It is an optimized form of operational database contain
only relevant information and provide fast access ...
Metadata repository:
It figure out that what is available in data warehouse.
It contains:
 Structure of data warehouse
 ...
Data Marts:
 Subset of data warehouse contain only small slices
of data warehouse
Eg: Data pertaining to the single depar...
Monitoring & Administration:
 Data Refreshment
 Data source synchronization
 Disaster recovery
 Managing access contro...
Data
Warehouse
Data
Marts
Metadata
Repository
Monitoring Administration
Sourc
e A
B C
Bottom Tier: Data
Warehouse Server
D...
Middle Tier: OLAP Server
 It presents the users a multidimensional data from data
warehouse or data marts.
 Typically im...
Top Tier: Front end tools
It is front end client layer.
 Query and reporting tools
Reporting Tools: Production reporting ...
Thank You
3 tier data warehouse
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3 tier data warehouse

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This is the 3- Tier architecture of Data Warehouse. This is the topic under Data Mining subject. Data mining is extracting knowledge from large amount of data.

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3 tier data warehouse

  1. 1. Seminar On 3- Tier Data Warehouse Architecture Presented by: Er. Jashanpreet M.Tech- CE
  2. 2. 3-Tier Data Warehouse Architecture Data ware house adopt a three tier architecture. These 3 tiers are:  Bottom Tier  Middle Tier Top Tier
  3. 3. Data Sources: All the data related to any bussiness organization is stored in operational databases, external files and flat files.  These sources are application oriented Eg: complete data of organization such as training detail, customer detail, sales, departments, transactions, employee detail etc.  Data present here in different formats or host format  Contain data that is not well documented
  4. 4. Bottom Tier: Data warehouse server Data Warehouse server fetch only relevant information based on data mining (mining a knowledge from large amount of data) request. Eg: customer profile information provided by external consultants.  Data is feed into bottom tier by some backend tools and utilities.
  5. 5. Backend Tools & Utilities: Functions performed by backend tools and utilities are: Data Extraction  Data Cleaning  Data Transformation  Load  Refresh
  6. 6. Bottom Tier Contains:  Data warehouse  Metadata Repository  Data Marts  Monitoring and Administration
  7. 7. Data Warehouse: It is an optimized form of operational database contain only relevant information and provide fast access to data.  Subject oriented Eg: Data related to all the departments of an organization  Integrated: Different views Single unified of data view  Time – variant  Nonvolatile A B C Warehous e
  8. 8. Metadata repository: It figure out that what is available in data warehouse. It contains:  Structure of data warehouse  Data names and definitions  Source of extracted data  Algorithm used for data cleaning purpose  Sequence of transformations applied on data  Data related to system performance
  9. 9. Data Marts:  Subset of data warehouse contain only small slices of data warehouse Eg: Data pertaining to the single department  Two types of data marts: Dependent Independent sourced directly sourced from one or from data warehouse more data sources
  10. 10. Monitoring & Administration:  Data Refreshment  Data source synchronization  Disaster recovery  Managing access control and security  Manage data growth, database performance  Controlling the number & range of queries  Limiting the size of data warehouse
  11. 11. Data Warehouse Data Marts Metadata Repository Monitoring Administration Sourc e A B C Bottom Tier: Data Warehouse Server Data
  12. 12. Middle Tier: OLAP Server  It presents the users a multidimensional data from data warehouse or data marts.  Typically implemented using two models: ROLAP Model MOLAP Model Present data in Present data in array relational tables based structures means map directly to data cube array structure.
  13. 13. Top Tier: Front end tools It is front end client layer.  Query and reporting tools Reporting Tools: Production reporting tools Report writers Managed query tools: Point and click creation of SQL used in customer mailing list.  Analysis tools : Prepare charts based on analysis  Data mining Tools: mining knowledge, discover hidden piece of information, new correlations, useful pattern
  14. 14. Thank You

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