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  2. Apache POI - Wikipedia

    en.wikipedia.org/wiki/Apache_POI

    HSSF (Horrible SpreadSheet Format [2]) – reads and writes Microsoft Excel (XLS) format files. It can read files written by Excel 97 onwards; this file format is known as the BIFF 8 format. As the Excel file format is complex and contains a number of tricky characteristics, some of the more advanced features cannot be read.

  3. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    Examples of column-oriented formats include Apache ORC, [3] Apache Parquet, [4] Apache Arrow, [5] formats used by BigQuery, Amazon Redshift and Snowflake. Predominant examples of row-oriented formats include CSV, formats used in most relational databases , the in-memory format of Apache Spark , and Apache Avro .

  4. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).

  5. Apache OpenOffice - Wikipedia

    en.wikipedia.org/wiki/Apache_OpenOffice

    Apache OpenOffice's default file format is the OpenDocument Format (ODF), an ISO/IEC standard. It can also read and write a wide variety of other file formats, with particular attention to those from Microsoft Office – although it cannot save documents in Microsoft's post-2007 Office Open XML formats, but only import them.

  6. Data modeling - Wikipedia

    en.wikipedia.org/wiki/Data_modeling

    The database design documented in these schemas is converted through a Data Definition Language, which can then be used to generate a database. A fully attributed data model contains detailed attributes (descriptions) for every entity within it. The term "database design" can describe many different parts of the design of an overall database ...

  7. Hierarchical database model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_database_model

    A hierarchical database model is a data model in which the data is organized into a tree-like structure. The data are stored as records which is a collection of one or more fields . Each field contains a single value, and the collection of fields in a record defines its type .

  8. Conceptual schema - Wikipedia

    en.wikipedia.org/wiki/Conceptual_schema

    A conceptual schema or conceptual data model is a high-level description of informational needs underlying the design of a database. [1] [2] It typically includes only the core concepts and the main relationships among them. This is a high-level model with insufficient detail to build a complete, functional database. [3]

  9. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    If the data is being persisted in a modern database then Change Data Capture is a simple matter of permissions. Two techniques are in common use: Tracking changes using database triggers; Reading the transaction log as, or shortly after, it is written. If the data is not in a modern database, CDC becomes a programming challenge.