Oracle Eloqua Reporting Python Connector

SQL-based Access to Oracle Eloqua Reporting from Python

Easily connect Python-based Data Access, Visualization, ORM, ETL, AI/ML, and Custom Apps with Oracle Eloqua Reporting!

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Python Connector Libraries for Oracle Eloqua Reporting Data Connectivity. Integrate Oracle Eloqua Reporting with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Easy-to-use Python Database API (DB-API) Modules connect Oracle Eloqua Reporting data with Python and any Python-based applications.

Features

Powerful metadata querying enables SQL-like access to non-database sources
Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
Client-side query execution engine, supports SQL-92 operations that are not available server-side
Connect to live Oracle Eloqua Reporting data, for real-time data access with the Oracle Eloqua Reporting Python Connectors
Full support for data aggregation and complex JOINs in SQL queries
Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Oracle Eloqua Reporting Connector.

Specifications

Python Database API (DB-API) Modules for Oracle Eloqua Reporting .
Write SQL, get Oracle Eloqua Reporting data. Access Oracle Eloqua Reporting through standard Python Database Connectivity.
Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
Full Unicode support for data, parameter, & metadata.

CData Python Connectors in Action!

Watch the video overview for a first hand-look at the powerful data integration capabilities included in the CData Python Connectors.

WATCH THE PYTHON CONNECTOR VIDEO OVERVIEW

Python Connectivity with Oracle Eloqua Reporting

Full-featured and consistent SQL access to any supported data source through Python

Universal Python Oracle Eloqua Reporting Connectivity
Easily connect to Oracle Eloqua Reporting data from common Python-based frameworks, including:
- Data Analysis/Visualization: Jupyter Notebook, pandas, Matplotlib
- ORM: SQLAlchemy, SQLObject, Storm
- Web Applications: Dash, Django
- ETL: Apache Airflow, Luigi, Bonobo, Bubbles, petl
Popular Tooling Integration

The Oracle Eloqua Reporting Connector integrates seamlessly with popular data science and developer tooling like Anaconda, Visual Studio Python IDE, PyCharm, and more. Real Python,
Replication and Caching

Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.
String, Date, Numeric SQL Functions

The Oracle Eloqua Reporting Connector includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

Collaborative Query Processing

Our Python Connector enhances the capabilities of Oracle Eloqua Reporting with additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.
Easily Customizable and Configurable

The data model exposed by our Oracle Eloqua Reporting Connector can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
Enterprise-class Secure Connectivity

Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

Connecting to Oracle Eloqua Reporting with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Oracle Eloqua Reporting from a wide range of standard Python data tools. Connecting to and working with your data in Python follows a basic pattern, regardless of data source:

Configure the connection properties to Oracle Eloqua Reporting
Query Oracle Eloqua Reporting to retrieve or update data
Connect your Oracle Eloqua Reporting data with Python data tools.

Connecting to Oracle Eloqua Reporting in Python

To connect to your data from Python, import the extension and create a connection:

import cdata.oracleeloquareporting as mod
conn = mod.connect("[email protected]; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM AccountActivities")
 
rs = cur.fetchall()
 
for row in rs:
print(row)

Once you import the extension, you can work with all of your enterprise data using the python modules and toolkits that you already know and love, quickly building apps that help you drive business.

Visualize Oracle Eloqua Reporting Data with pandas

The data-centric interfaces of the Oracle Eloqua Reporting Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.

engine = create_engine("oracleeloquareporting///Password=password&User=user")

df = pandas.read_sql("SELECT * FROM AccountActivities", engine)

df.plot()
plt.show()