Jupyter Notebook is a web-based interactive application that enables users to create notebook documents that feature live code, interactive plots, widgets, equations, images etc., and share these documents easily. It is also quite versatile as it can support many programming languages via kernels such as Julia, Python, Ruby, Scala, Haskell and R.
How can users connect to their databases using standards-based connectivity like ODBC or JDBC from various applications? In this tutorial, we will walk through on how you can query your Oracle database using Progress DataDirect Oracle ODBC driver. Note that you can use similar procedure to query/access your other databases using Progress DataDirect suite of ODBC drivers which includes drivers for Relational, Big Data, NoSQL and Cloud data sources.
GDP Plot for various countries
We hope this tutorial helped you to understand on how you can connect to your database using Progress DataDirect Oracle ODBC driver and visualize the data in your Jupyter Notebooks. Feel free to try other Progress DataDirect ODBC drivers for your data analysis and visualization purposes on your Jupyter notebooks. Also learn about how DataDirect drivers are more viable in than open source drivers with regards to licensing complexity, open source risk, legal risk, product quality and support.
Note: Progress DataDirect ODBC drivers are not certified with the unixODBC Driver Manager and reported issues must be reproducible with a supported version of the DataDirect ODBC Driver Manager for Unix/Linux.