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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.

  3. Spanner (database) - Wikipedia

    en.wikipedia.org/wiki/Spanner_(database)

    Spanner is a distributed SQL database management and storage service developed by Google. [1] It provides features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover. Spanner is used in Google F1, the database for its advertising business Google Ads, as well as Gmail and Google Photos. [2] [3]

  4. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Google Analytics 360 includes seven main products: Analytics, Tag Manager, Optimize, Data Studio, Surveys, Attribution, and Audience Center. [38] In October 2017 a new methodology to collect data for Google Analytics was announced, called Global Site Tag, or gTag.js. Its stated purpose was to unify the tagging system to simplify implementation.

  5. Google Cloud Datastore - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Datastore

    Google Cloud Datastore (Cloud Datastore) is a highly scalable, fully managed NoSQL database service offered by Google on the Google Cloud Platform. [1] Cloud Datastore is built upon Google's Bigtable and Megastore technology. [2] Google Cloud Datastore allows the user to create databases either in Native or Datastore Mode.

  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. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    The star schema separates business process data into facts, which hold the measurable, quantitative data about a business, and dimensions which are descriptive attributes related to fact data. Examples of fact data include sales price, sale quantity, and time, distance, speed and weight measurements.

  8. 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.

  9. Google Developers - Wikipedia

    en.wikipedia.org/wiki/Google_Developers

    The AdSense and AdWords APIs, based on the SOAP data exchange standard, allow developers to integrate their own applications with these Google services. The AdSense API allows owners of websites and blogs to manage AdSense sign-up, content and reporting, while the AdWords API gives AdWords customers programmatic access to their AdWords accounts and campaigns.