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Google Cloud Platform

Big Fish Games provides access to the Google Cloud Datastore for developers who wish to use its implementation for data services.

The Big Fish network connects directly to Google Cloud through a Virtual Private Cloud, and can transfer large amounts of data to cloud. It provides a flexible environment, and utilizes Kafka and Spark Stream to build a streaming data platform.

Logging onto the Google Cloud Platform Console

  1. Go to the Google Cloud Platform (GCP) console at https://console.cloud.google.com.
  2. Log in using the Gmail account that you provided to your Big Fish Studio Liaison.
  3. In the top header bar, select the project provided by your Big Fish Studio Liaison.
  4. Select “bigfishgames.com” as the organization.
  5. Then, select your project and click Open to load it.

Using Google Big Query

BigQuery is Google Cloud's fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real time. To use it, select Big Query from the side bar.

Here, you will see your project in Big Query, alongside your data set. Within the data set, you have views to access your game's data. Highlighted on the lower right corner, the editor displays the amount of data your query will scan. Big Query charges $5 per Terabyte scanned. The first 1 TB per month is free.

In the sidebar, click Saved queries to view any queries you or analysts have saved. In the bottom left corner you can view the data set, for example, "game_forest_game_data".

info
  • Depending on your access level, your GCP Console may appear different from the above example.
  • At this time, you only have access to Big Query. If you need other tools, work with your Big Fish Studio Liaison to make a request for additional GCP tools.
  • External game developers will have access to their data only through Authorized views in Big Query.
  • You cannot export data from GCP.

For troubleshooting help, contact your Big Fish representative to help with any issues you have accessing your data.

For more information, see the following Google documentation.