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  2. 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. [12] In October 2022 ...

  3. Google Dashboard - Wikipedia

    en.wikipedia.org/wiki/Google_Dashboard

    To access, users sign into a Google account with username and password. [1] Once signed in, select Google account settings option in top right corner of the web page and then click on the Dashboard link titled View data stored with the account. After verifying account password, users can view Dashboard organized according to the products of use.

  4. Google data centers - Wikipedia

    en.wikipedia.org/wiki/Google_data_centers

    Google data centers are the large data center facilities Google uses to provide their services, which combine large drives, computer nodes organized in aisles of racks, internal and external networking, environmental controls (mainly cooling and humidification control), and operations software (especially as concerns load balancing and fault tolerance).

  5. Google Data Studio - Wikipedia

    en.wikipedia.org/?title=Google_Data_Studio&...

    From a page move: This is a redirect from a page that has been moved (renamed).This page was kept as a redirect to avoid breaking links, both internal and external, that may have been made to the old page name.

  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).

  7. Google APIs - Wikipedia

    en.wikipedia.org/wiki/Google_APIs

    The APIs provide functionality like analytics, machine learning as a service (the Prediction API) or access to user data (when permission to read the data is given). Another important example is an embedded Google map on a website, which can be achieved using the Static Maps API, [ 1 ] Places API [ 2 ] or Google Earth API.

  8. Google Takeout - Wikipedia

    en.wikipedia.org/wiki/Google_Takeout

    Google Takeout was created by the Google Data Liberation Front on June 28, 2011 [2] to allow users to export their data from most of Google's services. Since its creation, Google has added several more services to Takeout due to popular demand from users.

  9. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    Dashboards are also used in accounting decision making settings. The data can help prove a change is efficient or inefficient and therefore help with improving systems throughout an organization. In order for a dashboard to be efficient, the individual creating the dashboard needs to make sure that the information is simple and easy to read and ...