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  2. Dimension (data warehouse) - Wikipedia

    en.wikipedia.org/wiki/Dimension_(data_warehouse)

    Although surrogate key use places a burden on the ETL system, pipeline processing can be improved, and ETL tools have built-in improved surrogate key processing. The goal of a dimension table is to create standardized, conformed dimensions that can be shared across the enterprise's data warehouse environment, and enable joining to multiple fact ...

  3. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    A common source of problems in ETL is a big number of dependencies among ETL jobs. For example, job "B" cannot start while job "A" is not finished. One can usually achieve better performance by visualizing all processes on a graph, and trying to reduce the graph making maximum use of parallelism , and making "chains" of consecutive processing ...

  4. Multiple choice - Wikipedia

    en.wikipedia.org/wiki/Multiple_choice

    A multiple choice question, with days of the week as potential answers. Multiple choice (MC), [1] objective response or MCQ(for multiple choice question) is a form of an objective assessment in which respondents are asked to select only the correct answer from the choices offered as a list.

  5. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1]

  6. Staging (data) - Wikipedia

    en.wikipedia.org/wiki/Staging_(data)

    In this scenario the staging area can be used to maintain historical records during the load process, or it can be used to push data into a target archive structure. Additionally data may be maintained within the staging area for extended periods of time to support technical troubleshooting of the ETL process.

  7. Enterprise information integration - Wikipedia

    en.wikipedia.org/wiki/Enterprise_information...

    Enterprise information integration (EII) is the ability to support a unified view of data and information for an entire organization.In a data virtualization application of EII, a process of information integration, using data abstraction to provide a unified interface (known as uniform data access) for viewing all the data within an organization, and a single set of structures and naming ...

  8. Architecture tradeoff analysis method - Wikipedia

    en.wikipedia.org/wiki/Architecture_Tradeoff...

    Present a scenario for this given requirement. Analyze architectural approaches – Analyze each scenario, rating them by priority. The architecture is then evaluated against each scenario. Brainstorm and prioritize scenarios – among the larger stakeholder group, present the current scenarios, and expand.

  9. Oracle Data Integrator - Wikipedia

    en.wikipedia.org/wiki/Oracle_Data_Integrator

    Oracle Data Integrator (ODI) is an extract, load, transform (ELT) tool (in contrast with the ETL common approach) produced by Oracle that offers a graphical environment to build, manage and maintain data integration processes in business intelligence systems.