Data Warehousing - Relational OLAP


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Relational OLAP servers are placed between relational back-end server and client front-end tools. To store and manage the warehouse data, the relational OLAP uses relational or extended-relational DBMS.

ROLAP includes the following:

  • Implementation of aggregation navigation logic
  • Optimization for each DBMS back-end
  • Additional tools and services

Points to Remember

  • ROLAP servers are highly scalable.

  • ROLAP tools analyze large volumes of data across multiple dimensions.

  • ROLAP tools store and analyze highly volatile and changeable data.

Relational OLAP Architecture

ROLAP includes the following components:

  • Database server
  • ROLAP server
  • Front-end tool.
Rolap Architecture

Advantages

  • ROLAP servers can be easily used with existing RDBMS.
  • Data can be stored efficiently, since no zero facts can be stored.
  • ROLAP tools do not use pre-calculated data cubes.
  • DSS server of micro-strategy adopts the ROLAP approach.

Disadvantages

  • Poor query performance.

  • Some limitations of scalability depending on the technology architecture that is utilized.



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