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  2. erwin Data Modeler - Wikipedia

    en.wikipedia.org/wiki/Erwin_Data_Modeler

    erwin Data Modeler (stylized as erwin but formerly as ERwin) is computer software for data modeling.Originally developed by Logic Works, erwin has since been acquired by a series of companies, before being spun-off by the private equity firm Parallax Capital Partners, which acquired and incorporated it as a separate entity, erwin, Inc., managed by CEO Adam Famularo.

  3. ER/Studio - Wikipedia

    en.wikipedia.org/wiki/ER/Studio

    ER/Studio has a computer-aided software engineering tool (or CASE tool). [2] Users can utilize ER/Studio as a way to take conceptual data model and create a logical data model that is not dependent on a specific database technology. [3] This schematic model can be used to create the physical data model.

  4. Comparison of data modeling tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Tool Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect

  5. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Instead of the typical tabular structure of a relational database, NoSQL databases ...

  6. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.

  7. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. The use of data modeling standards is strongly recommended for all projects requiring a standard means of defining and analyzing data within an organization, e.g., using data modeling:

  8. 25 of the very best deals from Nordstrom's Half-Yearly Sale ...

    www.aol.com/lifestyle/the-very-best-deals-from...

    One of the best post-Christmas sales we look forward to every year is Nordstrom's Half-Yearly Sale, which typically kicks off the day after Christmas and lasts for a couple of weeks.Ring in the ...

  9. Enterprise data modelling - Wikipedia

    en.wikipedia.org/wiki/Enterprise_data_modelling

    Enterprise data modelling or enterprise data modeling (EDM) is the practice of creating a graphical model of the data used by an enterprise or company. Typical outputs of this activity include an enterprise data model consisting of entity–relationship diagrams (ERDs), XML schemas (XSD), and an enterprise wide data dictionary .

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