Author: Celia
Large Language Models & Vector Stores, it takes two to tango
Large Language Models (LLMs) need to compare and search text based on meaning. Thus, they must transform the text in units that allow processing and storing efficiently. Furthermore, since the processing is heavy, there are many parameters, and the amount of data to process is large, LLMs need a storage solution, vector store, that optimises…
Artificial Intelligence in Speculative Fiction
Review of a few Speculative Fiction stories that show a concern about our obsession with Artificial Intelligence and other digital technologies. They unveil the dark side of those machines that interfere in our life and thoughts, and which may become an additive technology. They also expose the fantasies about absolute power that may raise in…
Teradata DB-e 20: OTF Performance
Learn in this post how to better tune the OTF workload in the Teradata Database Engine 20, either Apache Iceberg or Delta Lake. This way, you will get the shorter query execution times through Vantage. As of August 2025, Teradata uses Apache Iceberg and Delta Lake Java APIs to connect to the storage with tables…
Apache Iceberg, Delta Lake and Various Engines
Comparison of Apache Iceberg and Delta Lake features, what engines to use in the different CSPs, and several compute engines and their OTF features.
OTF Features to Integrate in Analytical Ecosystems: Evolution and Time Travel
This article analyses the main attributes that simplify the usage of OTF within a Data Fabric and represent the differentiators for why to use Open Table Format over Open File Format. These features are: Schema Evolution, Partition Evolution, Sort Order Evolution and Time Tra
Delta Lake 101
This post explains the basics of the Delta Lake architecture, key features, and how it writes, as an essential process in the Delta Lake tables.
