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Use Dash to Build to Web Apps on AWS Management Data

The CData Python Connector for AWS Management enables you to create Python applications that use pandas and Dash to build AWS Management-connected web apps.

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for AWS Management, the pandas module, and the Dash framework, you can build AWS Management-connected web applications for AWS Management data. This article shows how to connect to AWS Management with the CData Connector and use pandas and Dash to build a simple web app for visualizing AWS Management data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live AWS Management data in Python. When you issue complex SQL queries from AWS Management, the driver pushes supported SQL operations, like filters and aggregations, directly to AWS Management and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to AWS Management Data

Connecting to AWS Management data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

To authorize AWSDataManagement requests, provide the credentials for an administrator account or for an IAM user with custom permissions:

  1. Set AccessKey to the access key Id.
  2. Set SecretKey to the secret access key.
  3. Set Region to the region where your AWSDataManagement data is hosted.

Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.

After installing the CData AWS Management Connector, follow the procedure below to install the other required modules and start accessing AWS Management through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install pandas
pip install dash
pip install dash-daq

Visualize AWS Management Data in Python

Once the required modules and frameworks are installed, we are ready to build our web app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.awsdatamanagement as mod
import plotly.graph_objs as go

You can now connect with a connection string. Use the connect function for the CData AWS Management Connector to create a connection for working with AWS Management data.

cnxn = mod.connect("AccessKey=myAccessKey;Account=myAccountName;Region=us-east-1;")

Execute SQL to AWS Management

Use the read_sql function from pandas to execute any SQL statement and store the result set in a DataFrame.

df = pd.read_sql("SELECT PartitionKey, Name FROM NorthwingProducts WHERE Id = '1'", cnxn)

Configure the Web App

With the query results stored in a DataFrame, we can begin configuring the web app, assigning a name, stylesheet, and title.

app_name = 'dash-awsdatamanagementedataplot'

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'

Configure the Layout

The next step is to create a bar graph based on our AWS Management data and configure the app layout.

trace = go.Bar(x=df.PartitionKey, y=df.Name, name='PartitionKey')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='AWS Management NorthwingProducts Data', barmode='stack')
		})
], className="container")

Set the App to Run

With the connection, app, and layout configured, we are ready to run the app. The last lines of Python code follow.

if __name__ == '__main__':
    app.run_server(debug=True)

Now, use Python to run the web app and a browser to view the AWS Management data.

python awsdatamanagement-dash.py

Free Trial & More Information

Download a free, 30-day trial of the AWS Management Python Connector to start building Python apps with connectivity to AWS Management data. Reach out to our Support Team if you have any questions.



Full Source Code

import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import cdata.awsdatamanagement as mod
import plotly.graph_objs as go

cnxn = mod.connect("AccessKey=myAccessKey;Account=myAccountName;Region=us-east-1;")

df = pd.read_sql("SELECT PartitionKey, Name FROM NorthwingProducts WHERE Id = '1'", cnxn)
app_name = 'dash-awsdatamanagementdataplot'

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = 'CData + Dash'
trace = go.Bar(x=df.PartitionKey, y=df.Name, name='PartitionKey')

app.layout = html.Div(children=[html.H1("CData Extension + Dash", style={'textAlign': 'center'}),
	dcc.Graph(
		id='example-graph',
		figure={
			'data': [trace],
			'layout':
			go.Layout(title='AWS Management NorthwingProducts Data', barmode='stack')
		})
], className="container")

if __name__ == '__main__':
    app.run_server(debug=True)