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  2. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    For example, a table of 128 rows with a Boolean column requires 128 bytes a row-oriented format (one byte per Boolean) but 128 bits (16 bytes) in a column-oriented format (via a bitmap). Another example is the use of run-length encoding to encode a column.

  3. MonetDB - Wikipedia

    en.wikipedia.org/wiki/MonetDB

    MonetDB is an open-source column-oriented relational database management system (RDBMS) originally developed at the Centrum Wiskunde & Informatica (CWI) in the Netherlands.It is designed to provide high performance on complex queries against large databases, such as combining tables with hundreds of columns and millions of rows.

  4. Temporal database - Wikipedia

    en.wikipedia.org/wiki/Temporal_database

    IBM Db2 version 10 added a feature called "time travel query" [2] which is based on the temporal capabilities of the SQL:2011 standard. [1] Microsoft SQL Server introduced Temporal Tables as a feature for SQL Server 2016. The feature is described in a video on Microsoft's "Channel 9" web site.

  5. Trino (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Trino_(SQL_query_engine)

    Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like HDFS, AWS S3, Google Cloud Storage, or Azure Blob Storage [4] using the Hive [2] and Iceberg [3 ...

  6. List of tz database time zones - Wikipedia

    en.wikipedia.org/wiki/List_of_tz_database_time_zones

    [3] [4] The SDT column shows the offset from UTC during the winter, even in Ireland, where that's referred to as "winter time", and the DST column shows the offset from UTC during the summer, even in Ireland, where that's referred to as "standard time".

  7. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Pandas is built around data structures called Series and DataFrames. Data for these collections can be imported from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. [8] A Series is a 1-dimensional data structure built on top of NumPy's array.

  8. Mortgage and refinance rates for Dec. 24, 2024: Average ... - AOL

    www.aol.com/finance/mortgage-and-refinance-rates...

    Average mortgage rates inch higher across popular terms as of Tuesday, December 24, 2024, pushing the 30-year fixed rate to 7.00% nearly a week after the Federal Reserve announced a third ...

  9. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    Microsoft SQL Server 2008 offers a (proprietary) alternative to EAV. [33] Columns with an atomic data type (e.g., numeric, varchar or datetime columns) can be designated as sparse simply by including the word SPARSE in the column definition of the CREATE TABLE statement. Sparse columns optimize the storage of NULL values (which now take up no ...

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    sql server date time formats pandas array to list index column names