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  2. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  3. BigQuery - Wikipedia

    en.wikipedia.org/wiki/BigQuery

    Integration - BigQuery can be used from Google Apps Script [8] (e.g. as a bound script in Google Docs), or any language that can work with its REST API or client libraries. [9] Access control - Share datasets with arbitrary individuals, groups, or the world. Machine learning - Create and execute machine learning models using SQL queries.

  4. Microsoft Power BI - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Power_BI

    A Power BI Dataset can work as a collection of data for use in Power BI reports, and can either be connected to or imported into a Power BI Report. [21] A dataset can be connected to and get its source data through one or more dataflows. Power BI Datamart Within Power BI, the datamart is a container that combines Power BI Dataflows, datasets ...

  5. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]

  6. Google Public Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Google_Public_Data_Explorer

    The SDMX converter is an open source application that offers the ability to convert DSPL (Google's Dataset Publishing Language) messages to SDMX-ML, and vice versa. The output file of a DSPL dataset is a zip file containing data (in the form of CSV files) and metadata (as an XML file). Datasets in this format can be visualized in the Google ...

  7. Data Transfer Project - Wikipedia

    en.wikipedia.org/wiki/Data_Transfer_Project

    The Data Transfer Project (DTP) is an open-source initiative which features data portability between multiple online platforms. [ 2 ] [ 3 ] The project was launched and introduced by Google on July 20, 2018, and has currently partnered with Facebook , Microsoft , Twitter , [ 4 ] [ 5 ] and Apple .

  8. List of GIS data sources - Wikipedia

    en.wikipedia.org/wiki/List_of_GIS_data_sources

    Global Roads Open Access Data Set (gROADS) Well documented global dataset from NASA's Socioeconomic Data and Applications Center of roads between settlements using a consistent data model (UNSDI-T v.2) which is, to the extent possible, topologically integrated, and accurate to approximately 50m. Only roads between settlements are included, not ...

  9. Looker Studio - Wikipedia

    en.wikipedia.org/wiki/Looker_Studio

    Initially, Google Data Studio and Looker operated as separate products within Google. Google Data Studio's offering was a simple, low-cost, and easy way to connect data sources and create dashboards, [ 11 ] while Looker offered a more enterprise-focused solution with robust support for transformations and permissions.

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