For data engineers working in the cloud, Oracle Cloud Infrastructure (OCI) offers a suite of powerful functions designed to simplify data manipulation and analysis. Amongst these are three functions that stand out for their ability to handle structured data in different formats: json_table, xml_table, and the lesser-known unnest.

Welcome back to Part 3 of OCI Functions. If you missed them, you can find the previous posts here: * Part 1 Invoking Functions * Part 2 Creating a Function In this post, we will explore in more detail how we secured the function. Securing an OCI Function OCI is basically a

Welcome back to Part 2 of OCI Functions. If you didn’t catch Part 1 you can read it here. In this part, we are going to take a look at creating our own OCI Function in Python. We know from working with the Pre-Built Function we have some things

Introduction to OCI Functions In this first blog post of the series, we will take our first step into OCI (Oracle Cloud Infrastructure) Functions. This is a service available on the Oracle Cloud, OCI Functions allow you to package your code so it can run autonomously within its own container.

Oracle Cloud Infrastructure (OCI) feels like it gives you all the parts of Oracle, providing you the capability to create, manage and monitor many functions via this platform.