Database Reference
In-Depth Information
data is a URL where the server returns results in the appropriate format.
With this done you have finally completed the dashboard application. If
you want to experiment with the visualization code and integration with
BigQuery, you do not have to limit yourself to these mobile logs. It is easy
to modify the code to use tables from the public dataset or any other dataset
your service account can access.
Beyond the Dashboard
One of the key features of BigQuery is that the raw data is always easily
accessible for exploration as shown in
Figure 8.4
.
As part of the sample
project, we have made some of the data we collected from our personal
phones available for queries, so you can get a sense of ad-hoc exploration.
This feature was used heavily during development to select and refine
suitable queries. In later chapters you also see how to use third-party tools
to build dashboards or visualize this data.
Figure 8.4
Data in BigQuery UI
