Jupyter Notebooks
The main developer interface is based on a customizes Jupyter Notebooks that comes preinstalled with Apache Spark and Cerebral Cortex. The following configuration file and python3 code show how to initialize a Cerebral Cortex instance to begin working with it.
cerebralcortex.yml
cassandra:
keyspace: cerebralcortex
db_user: ""
db_pass: ""
datapoint_table: data
mysql:
database: cerebralcortex
db_user: root
db_pass: pass
datastream_table: stream
processing_module_table: processing_module
user_table: user
study_table: study
from cerebralcortex.CerebralCortex import CerebralCortex
configuration_file = 'cerebralcortex.yml'>br /> CC = CerebralCortex(configuration_file, master="local[*]", name="Cerebral Cortex Test App")
Grafana
Grafana provides real-time and historical visualization for most time series-based data streams generated by mCerebrum or Cerebral Cortex. These are presented in an easy-to-use graphical interface that is customizable through a web interface. Several dashboards come preconfigured to display common elements that are generated by mCerebrum and can be useful to a health-science researcher.
Logging
All logging in Docker containers are redirected to an Elastic Search server through fluentd and visualized by Kibana. This allows for easy and quick search of log entries and more complex fault analysis through Kibana’s query tooling.