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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. Category:Extract, transform, load tools - Wikipedia

    en.wikipedia.org/wiki/Category:Extract...

    Extract, transform, load tools are software packages that facilitate the performing of ETL tasks. Pages in category "Extract, transform, load tools" The following 35 pages are in this category, out of 35 total.

  4. Extract, load, transform - Wikipedia

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

    Extract, load, transform (ELT) is an alternative to extract, transform, load (ETL) used with data lake implementations. In contrast to ETL, in ELT models the data is not transformed on entry to the data lake, but stored in its original raw format.

  5. Spatial ETL - Wikipedia

    en.wikipedia.org/wiki/Spatial_ETL

    Spatial extract, transform, load (spatial ETL), also known as geospatial transformation and load (GTL), is a process for managing and manipulating geospatial data, for example map data. It is a type of extract, transform, load (ETL) process, with software tools and libraries specialised for geographical information.

  6. Java bytecode - Wikipedia

    en.wikipedia.org/wiki/Java_bytecode

    For example, iadd will add two integers, while dadd will add two doubles. The const, load, and store instructions may also take a suffix of the form _n, where n is a number from 0–3 for load and store. The maximum n for const differs by type. The const instructions push a value of the specified type onto the stack.

  7. Service-oriented architecture - Wikipedia

    en.wikipedia.org/wiki/Service-oriented_architecture

    Services are independent and control the functionality they encapsulate, from a Design-time and a run-time perspective. Service statelessness Services are stateless, that is either return the requested value or give an exception hence minimizing resource use. Service granularity A principle to ensure services have an adequate size and scope.

  8. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    For example, a generic data model may define relation types such as a 'classification relation', being a binary relation between an individual thing and a kind of thing (a class) and a 'part-whole relation', being a binary relation between two things, one with the role of part, the other with the role of whole, regardless the kind of things ...

  9. IBM InfoSphere DataStage - Wikipedia

    en.wikipedia.org/wiki/IBM_InfoSphere_DataStage

    IBM InfoSphere DataStage is an ETL tool and part of the IBM Information Platforms Solutions suite and IBM InfoSphere. It uses a graphical notation to construct data integration solutions and is available in various versions such as the Server Edition, the Enterprise Edition, and the MVS Edition. It uses a client-server architecture.

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