Database Reference
In-Depth Information
not graphing APIs, so the charts are fairly rudimentary. They should
demonstrate, however, that it is possible to make some nice graphs without
a lot of effort.
Figure 2.4
shows some of the default graphs for the sensor
data application.
Figure 2.4
BigQuery End-to-End reporting page
The web application is hosted at
http://bigquery-sensors.appspot.com
if you'd like to check it out.
If the usage isn't self-explanatory, Chapter 8 goes into more detail about
how to interact with it, and by the time you get there you should know more
about how to use BigQuery. The code for the website is written in Python.
Because Python is a fairly concise and readable language, it should be easier
to find and follow the BigQuery-specific sections than if the website was
written in another language such as Java.
Running Ad-Hoc Queries
The AppEngine and Android apps aren't doing anything magical with
respect to BigQuery; they just populate and query standard BigQuery tables.
The tables used by the BigQuery Sensors application are publicly accessible
