About this series
This series of code patterns, which focuses on a fictional health care company, demonstrates how cloud technology can access data stored on z/OS Systems. You’ll learn how to access large amounts of data stored on a Db2 database and a CICS application, and you’ll use z/OS Connect and API Connect to expose the data through REST APIs. z/OS Connect gives you a way to unleash your existing market-differentiating IBM assets with RESTful APIs. API Connect allows automated API creation, simple discovery of assets, self-service access for developers, and built-in security and governance. z/OS Connect exposes the data from Db2 and CICS as REST APIs, then API Connect is used to create a way to easily access the APIs through an intuitive portal.
Transform and load big data CSV files into a database
Learn how to generate a set of CSV files, transform them using a tool called SQLite, and load them to a Db2 for z/OS database using a JDBC function called zload.
Machine learning using synthesized patient health records
Train a machine learning model to predict type 2 diabetes using synthesized patient health records. Using synthesized data allows you to learn about building a model without having to worry about privacy issues associated with the use of real patient health records.
Create a health data analytics app with legacy mainframe code and the cloud
A fictional healthcare and insurance company has a Node.js-based analytics web application for a health records system. The web application is designed to showcase the best in class integration of modern cloud technology in collaboration with legacy mainframe code.
Create portal to access large amounts of data
Learn how to expose data from a Db2 database and a CICS application through z/OS Connect and create APIs to access that data with IBM API Connect.