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2. 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.

3. Cassie Kozyrkov - Wikipedia

   en.wikipedia.org/wiki/Cassie_Kozyrkov

   After two years, she joined the Office of the CTO at Google in 2016. [citation needed] Her area of focus at Google is on applied AI and data science process architecture. [7] [better source needed] Cassie Kozyrkov during the opening day of Web Summit 2019. Kozyrkov is also a technology evangelist and has been called a data science thought ...

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 Cloud Platform - Wikipedia

   en.wikipedia.org/wiki/Google_Cloud_Platform

   Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [5]

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. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.