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Google Analytics is a web analytics service offered by Google that tracks and reports website traffic and also mobile app traffic and events, currently as a platform inside the Google Marketing Platform brand. [3]
A digital calendar in week view with 24-hour time A digital calendar in month view with ISO week numbers. A digital calendar is a collaborative or personal time management software with a calendar that can be used to keep track of planned events. The calendar can also contain an appointment book, address book or contact list. Common features of ...
Google Calendar is a time-management and scheduling calendar service developed by Google.It was created by Mike Samuel as part of his 20% project at Google. [5] [6] It became available in beta release April 13, 2006, and in general release in July 2009, on the web and as mobile apps for the Android and iOS platforms.
It may extend further to predictive analytics, or predictive analysis may form part of the analytic application - depending on both the subject matter under analysis, and the nature of the analysis required. Analytic applications are typically described as a subset of performance management.
Google Calendar Sync – sync Microsoft Outlook email and calendar with Gmail and Google Calendar. Synchronization for existing installations stopped on August 1. Replaced with Google Sync, which does not synchronize Outlook calendars, but can sync email using IMAP or POP3. Also, Google Apps for Business, Education, and Government customers can ...
Shopify created an open-source template language called Liquid, which is written in Ruby and has been used since 2006. [13] In June 2009, Shopify launched an application programming interface (API) platform and App Store. [14] The API allows developers to create applications for Shopify online stores and then sell them on the Shopify App Store ...
The Portable Format for Analytics (PFA) is a JSON-based predictive model interchange format conceived and developed by Jim Pivarski. [ citation needed ] PFA provides a way for analytic applications to describe and exchange predictive models produced by analytics and machine learning algorithms.
iOS enforces strict sandboxing to maintain security and privacy. Apps are generally limited to accessing their own containers and specific system-provided directories, such as the Photos library. To access files outside of their sandbox, iOS uses mechanisms like document pickers, file providers, and app extensions.