The Autumn MakeIT 2025 Conference event took place on O ctober 14th, 2025 , at the** Computer Museum in Ljubljana**. Its unofficial theme, NO SLIDES, JUST CODE ,” truly captured the spirit of the day. The sessions were delivered by four Slovenian Oracle ACEs — Zoran Tica, Lucas Hirschegger, Urh Srečnik, and Žiga Vaupot. While Zoran and Lucas focused on development within Oracle APEX , Urh and I explored some of the exciting intersections between Oracle database technologies and artificial intelligence . My session was — quite literally — my first deep dive into graphs and Oracle’s support for Property Graphs . As promised, there were zero slides — my goal was to explore how property graphs can be leveraged in a GraphRAG (Graph-based Retrieval-Augmented Generation) scenario. That’s why my presentation carried the title: Graphs – the Bridge Between Data and Generative Artificial Intelligence . It’s no secret that I built upon all the resources I could find on this topic. My primar...
What is Data Fragmentation? Data Fragmentation in Oracle Analytics refers to the practice of dividing large datasets into smaller, logically separated segments—called fragments —based on defined criteria such as time, region, or product category. This technique is primarily implemented in the semantic layer to optimize query performance and data management. By configuring fragmentation content filters on multiple logical table sources, Oracle Analytics can intelligently route queries to only the relevant data source, reducing processing time and improving efficiency. Fragmentation is especially useful in large-scale deployments where data is physically partitioned or spread across multiple tables or databases. Just to clarify, when speaking of data fragmentation in Oracle Analytics, we’re not referring to table range partitioning, which is managed entirely at the database level and does not require any configuration in the semantic model, as partitioning is handled automatically ...