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  2. 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).

  3. 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. [37] 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.

  4. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments. In April 2008, Google announced App Engine, a platform for developing and hosting web applications in Google-managed data centers, which was the first cloud computing service from the company. The service became generally ...

  5. BigQuery - Wikipedia

    en.wikipedia.org/wiki/BigQuery

    BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.

  6. 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.

  7. Cloud analytics - Wikipedia

    en.wikipedia.org/wiki/Cloud_Analytics

    Google BigQuery Google's fully manages low cost analytics data warehouse. Google Cloud Dataflow unifies programming models and manages services for executing a range of data processing patterns including streaming analytics, ETL, and batch computation. Google Cloud Dataproc manages Spark and Hadoop service, to process big datasets using the ...