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The traditional Business Intelligence architecture involves the use of a data warehouse which is populated on a scheduled basis (typically nightly) with data from one-to-many source systems. Either custom scripts or ETL tools such as Oracle Warehouse Builder, Oracle Data Integrator or Informatica are used to copy the data. As the speed of bu
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siness has increased, hardware and databases costs have decreased and hardware and database performance have dramatically increased, organizations are now looking to use tools like Oracle Business Intelligence to provide real-time reports and dashboards. Several architectural approaches can be employed to achieve real-time business intelligence. They include:
- Direct Table Access: Connecting Oracle Business Intelligence directly to database tables is the fastest method to create a real-time business intelligence environment. Once the database is connected, the physical tables can be seen in the physical layer of the RPD and then migrated to the business and presentation layers in support of report development. The main disadvantage of this approach is the presentation layer is significantly constrained by the structure of the source data, making report development more difficult. Some of these limitations can be overcome in the RPD by a technical analyst. In higher volume systems, report performance and stress on the source system may be considerations as well.
- Views: A view is a virtual table representing the result of a database query. While views take additional time to design and build, yet allow a data architect to structure and denormalize data in a manner that is more appropriate for reporting. Given that a view-based report is still hitting the database, similar performance considerations as direct table access apply.
- Materialized Views: A Materialized view is a database object that contains the cached results of a query. Materialized views are scheduled to refresh. The refresh frequency inversely relates to the latency of the data for reporting (i.e., the more frequent the refresh, the less the data latency). Materialized views can be used to eliminate spikes of demand on the source system. However, the source system stress remains constant given that materialized views are refreshed on a regular basis regardless of reporting demands. Materialized views do have positive impact on report performance given that queries are no longer in contention for resources with transaction processing requirements. Additional indexes can be added as well to further improve performance. Select the link for more information on Oracle Materialized Views.
- Operational Data Stores (ODS): Operational Data Stores are created by replicating data from a source system database into a separate database. This replication can be performed by a chance, data, capture (CDC) tool like Oracle Golden Gate. Unlike a traditional ETL (Extract, Translate and Load) tool like Oracle Data Integrator or Informatica, the transfer of data occurs in near real time and is based on changes in transactions vs. schedule migrations of large volumes of data. Golden Gate monitors the change logs of the source database and when a database change is identified the data is copied from the source database to the ODS. The ODS can be architected like the source database or de-normalized for reporting purposes. The advantage of the ODS is reporting queries are not constrained by performance of the source system and data can be better organized for adhoc reporting. The disadvantage of an ODS architecture is the time, cost and expertise required to use Golden Gate along with a separate database.
