Google VR SDK 1.0 with Daydream support has graduated out of beta is available today on the Daydream developer site.
This update simplifies common VR development tasks helping you to focus on building immersive, interactive mobile VR applications for Daydream-ready phones and headsets. Additionally, it also supports “integrated asynchronous reprojection, high fidelity spatialized audio, and interactions using Daydream controller,” writes google dev team.
“Daydream” annoucned at the Google I/O, is a platform for high quality, mobile virtual reality. The first Daydream-ready phones and headset will be coming this fall.
Native Unity integration enables Unity’s optimizations in VR rendering as well as support for features like head tracking, deep linking, and easy Android manifest configuration.
Native UE4 integration introduces Daydream controller support in the editor, a neck model, new rendering optimizations, and much more, team said.
In addition, Daydream Access Program (DAP) is opened as well for submitting Daydream app proposal to apply to be part of DAP.
Devlopers can start developing high-quality Daydream apps right now with the Google VR SDK 1.0 and the DIY developer kit. You can also download new Unity binary here, and Daydream plugin here, and UE4 developers download the source here.
In other news, Team Google, said “effective October 5, they’re enhancing account security for enterprise Gmail users.” At this time, “a new policy will take effect whereby users in a Google Apps domain,” while changing their passwords on or after this date, “will result in the revocation of the OAuth 2.0 tokens of apps that access their mailboxes using Gmail-based authorization scopes,” google explained.
Furthermore, users will not notice any specific changes on this date, “it’s only when a user changes their password from that point moving forward that their Gmail-related tokens become invalid,” added google.
In other news, Global Historical Climate Network (GHCN) data is now available in Google BigQuery.
This data “comes from over 80,000 stations in 180 countries,: writes google, adding, “it spans several decades and has been quality-checked to ensure that it’s temporally and spatially consistent.”
The GHCN daily data is the official weather record in the United States.
BigQuery is a managed analytics data warehouse at Google. And, with BigQuery Views and Data Studio 360 dashboards, you can save the query as a View. Simply copy-paste this query into the BigQuery console and select “Save View”.
Another feature from I/O, Firebase Analytics, which is part of Firebase platform available now, “automatically captures data on how people are using your iOS and Android app,” and it lets you “define your own custom app events.”
When the data’s captured, it’s available through a dashboard in the Firebase console. You can then export this raw data from Firebase Analytics to Google BigQuery for custom analysis into a separate dataset. “Each table contains user activity and demographic data automatically captured by Firebase Analytics,” along with any custom events you’re capturing in your app. Thus, after exporting one week’s worth of data for a cross-platform app, your BigQuery project would contain two datasets, each with seven tables, google explained.
For getting started with Firebase, visit the website.
In another post, Google exlpains digging in Cloud SQL automatic storage increase said, “Cloud SQL determines the capacity to add in following way: “size of threshold and storage added, actually depends on the amount of storage currently provisioned for your instance,” “up to a maximum size of 25 GB.”
Adding it said, “current storage capacity is divided by 25, and the result rounded down to the nearest integer,” google explained. “This result is then added to 5 GB to produce both the threshold size and the amount of storage added in the event that the available storage falls below the threshold.”
Further the team notes, you can check storage using the new setting in Cloud SQL Second Generation dubbed “Enable automatic storage increase.” When selected, “it checks available database storage every 30 seconds” and “adds more capacity as needed in 5GB to 25GB increments,” depending on the size of the database.
This means that instead of having to provision storage to accommodate future database growth, storage capacity grows as the database grows.