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  2. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...

  3. List of build automation software - Wikipedia

    en.wikipedia.org/wiki/List_of_build_automation...

    CMake – Cross-platform build tool for configuring platform-specific builds; very popoular; integrated with IDEs such as Qt Creator, [1] KDevelop and GNOME Builder [2] GNU build system (aka Autotools) – Software build toolset from GNU Pages displaying short descriptions of redirect targets

  4. Apache Airflow - Wikipedia

    en.wikipedia.org/wiki/Apache_Airflow

    Apache Airflow is an open-source workflow management platform for data engineering pipelines. It started at Airbnb in October 2014 [2] as a solution to manage the company's increasingly complex workflows.

  5. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    GitHub Copilot is a code completion and automatic programming tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [1]

  6. Apache Iceberg - Wikipedia

    en.wikipedia.org/wiki/Apache_Iceberg

    Apache Iceberg is a high performance open-source format for large analytic tables.Iceberg enables the use of SQL tables for big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, Impala, StarRocks, Doris, and Pig to safely work with the same tables, at the same time. [1]

  7. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

  8. GitHub - Wikipedia

    en.wikipedia.org/wiki/Github

    GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]

  9. Extract, transform, load - Wikipedia

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

    ETL tools in most cases contain a GUI that helps users conveniently transform data, using a visual data mapper, as opposed to writing large programs to parse files and modify data types. While ETL tools have traditionally been for developers and IT staff, research firm Gartner wrote that the new trend is to provide these capabilities to ...