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  2. Extract, transform, load - Wikipedia

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

    As such, ETL is a key process to bring all the data together in a standard, homogeneous environment. Design analysis [5] should establish the scalability of an ETL system across the lifetime of its usage – including understanding the volumes of data that must be processed within service level agreements. The time available to extract from ...

  3. Data transformation (computing) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    The executed code may be tightly integrated into the transformation tool, or it may require separate steps by the developer to manually execute the generated code. Data review is the final step in the process, which focuses on ensuring the output data meets the transformation requirements. It is typically the business user or final end-user of ...

  4. Kimball lifecycle - Wikipedia

    en.wikipedia.org/wiki/Kimball_lifecycle

    Physical design is the phase where the database is designed. It involves the database environment as well as security. Extract, transform, load (ETL) design and development is the design of some of the heavy procedures in the data warehouse and business intelligence system.

  5. Clinical data management - Wikipedia

    en.wikipedia.org/wiki/Clinical_data_management

    Design of CRFs needs to take into account the information required to be collected by the clinical trial protocol and intended to be included in statistical analysis. Where available, standard CRF pages may be re-used for collection of data which is common across most clinical trials e.g. subject demographics.

  6. Health care analytics - Wikipedia

    en.wikipedia.org/wiki/Health_care_analytics

    Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...

  7. Data architect - Wikipedia

    en.wikipedia.org/wiki/Data_architect

    Foundation in systems development: the data architect should understand the system development life cycle; software project management approaches; and requirements, design, and test techniques. The data architect is asked to conceptualize and influence application and interface projects, and therefore must understand what advice to give and ...

  8. Power Query - Wikipedia

    en.wikipedia.org/wiki/Power_Query

    Power Query is an ETL tool created by Microsoft for data extraction, loading and transformation, and is used to retrieve data from sources, process it, and load them into one or more target systems. Power Query is available in several variations within the Microsoft Power Platform , and is used for business intelligence on fully or partially ...

  9. Data architecture - Wikipedia

    en.wikipedia.org/wiki/Data_architecture

    During the definition of the target state, the data architecture breaks a subject down to the atomic level and then builds it back up to the desired form. The data architect breaks the subject down by going through three traditional architectural stages: Conceptual - represents all business entities.

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    what is an etl processdata warehousing etl