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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 computing, Google Dashboard lets users of the Internet view and manage personal data collected about them by Google. With an account, Google Dashboard allows users to have a summary view of their Google+, Google location history, Google web history, Google Play apps, YouTube and more. Once logged in, it summarizes data for each product the ...
Looker Data Sciences, Inc. is an American computer software company headquartered in Santa Cruz, California. It was acquired by Google in 2019 and is now part of the Google Cloud Platform . Looker markets a data exploration and discovery business intelligence platform.
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.
Cloud Dataprep – Data service based on Trifacta to visually explore, clean, and prepare data for analysis. [28] Cloud Pub/Sub – Scalable event ingestion service based on message queues. [29] Looker Studio – Business intelligence tool to visualize data through dashboards and reports. [30] Looker – Business intelligence platform. [31] [32]
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.
GData (Google Data Protocol) provides a simple protocol for reading and writing data on the Internet, designed by Google. GData combines common XML-based syndication formats (Atom and RSS) with a feed-publishing system based on the Atom Publishing Protocol, plus some extensions for handling queries. It relies on XML or JSON as a data format.
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).