3 Tier Architecture

  • June 2020
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Seminar By:Dilip(06IT018) Himanshu(06IT020)

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3-TIER DATAWAREHOUSE ARCHITECTURE Data warehouse adopt a three tier architecture, these are:Bottom Tier(Data warehouse server) 2. Middle Tier(OLAP server) 3. Top Tier(Front end tools). 1.

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BOTTOM TIER    

It is a warehouse database server Data is fed using Back end tools and utilities. Data extracted using programs called gateways It also contains Meta data repository.

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MIDDLE TIER The middle tier is an OLAP server that is typically implemented using either (1) a relational OLAP (ROLAP) model, that is, an extended relational DBMS that maps operations on multidimensional data to standard relational operations; or (2) a multidimensional OLAP (MOLAP) model, that is, a specialpurpose server that directly implements multidimensional data and operations.

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TOP TIER The top tier is a front-end client layer, which contains query and reporting tools, analysis tools, and/or data mining tools.

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DATAWAREHOUSE BACK-END TOOLS AND UTILITIES











Data warehouse systems use back-end tools and utilities to populate and refresh their data . These tools and utilities include the following functions: Data extraction, which typically gathers data from multiple, heterogeneous, and external sources. Data cleaning, which detects errors in the data and rectifies them when possible. Data transformation, which converts data from legacy or host format to warehouse format Load, which sorts, summarizes, consolidates, computes views, checks integrity, and builds indices and partitions Refresh, which propagates the updates from the data sources to the warehouse

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META DATA REPOSITORY It contains: Structure of data warehouse  Operational Metadata  Algorithm used for summarization  Data related to system performance  Business Metadata

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THANKS Queries?

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