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  2. 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 ...

  3. Enterprise Integration Patterns - Wikipedia

    en.wikipedia.org/wiki/Enterprise_Integration...

    The pattern language continues to be relevant as of today, for instance in cloud application development and integration, and in the internet of things. In 2015, the two book authors reunited—for the first time since the publication of the book—for a retrospective and interview in IEEE Software. [1]

  4. 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 ...

  5. 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 ...

  6. RapidMiner - Wikipedia

    en.wikipedia.org/wiki/RapidMiner

    RapidMiner uses a client/server model with the server offered either on-premises or in public or private cloud infrastructures.. RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.

  7. Some US health clinics grapple with federal funding squeeze - AOL

    www.aol.com/news/us-health-clinics-grapple...

    President Donald Trump's executive orders have begun to disrupt patient care in the United States, as some providers cannot access essential federal funding, according to interviews with a dozen ...

  8. D.C. Plane Crash Raises Questions About Trump Aviation ... - AOL

    www.aol.com/news/d-c-plane-crash-raises...

    The Trump Administration is facing its first major test after a passenger jet and Army helicopter collided mid-air in the Washington, D.C. area on Wednesday night, in what officials are calling ...

  9. Business intelligence software - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence_software

    The first comprehensive business intelligence systems were developed by IBM and Siebel (currently acquired by Oracle) in the period between 1970 and 1990. [1] [2] At the same time, small developer teams were emerging with attractive ideas, and pushing out some of the products companies still use nowadays.