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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).
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.
Google Workspace Marketplace (formerly Google Apps Marketplace and then G Suite Marketplace) is a product of Google LLC. It is an online store for free and paid web applications that work with Google Workspace services and with third party software. [2] Apps are based on Google APIs or on Google Apps Script.
Google Answers – online knowledge market that allowed users to post bounties for well-researched answers to their queries. Discontinued on November 28; still accessible (read-only). Writely – web-based word processor. On October 10, Writely was merged into Google Docs & Spreadsheets. Google Deskbar – desktop bar with a built-in mini browser.
As of 2024, thousands of Android applications have surpassed the one-million download milestone, with a significant subset reaching even higher thresholds. For context, in July 2017 that there are 319 apps which have been downloaded at least 100 million times and 4,098 apps have been downloaded at least ten million times. [ 1 ]
Google Analytics' approach is to show high-level, dashboard-type data for the casual user, and more in-depth data further into the report set. Google Analytics analysis can identify poorly performing pages with techniques such as funnel visualization, where visitors came from ( referrers ), how long they stayed on the website and their ...
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.
This makes accessing data in these formats much faster than data in formats requiring more extensive processing, such as JSON, CSV, and in many cases Protocol Buffers. Compared to other serialization formats however, the handling of FlatBuffers requires usually more code, and some operations are not possible (like some mutation operations).