Python-oracledb 2.4 introduces pipelining functionality to improve the performance and scalability of your Python applications for Oracle…
Oracle Database’s built-in “Client Result Cache” is an efficient, integrated, managed cache that can dramatically improve query performance…
Wondering how to install Oracle Instant Client on Oracle Linux from Oracle’s yum repository? This is what you need to know.
Oracle Database 23ai JSON-Relational Duality Views allow data to be stored as rows in tables to provide the benefits of SQL access in a…
Connecting ChatGPT to our Oracle database using LangChain and python. Querying our data in natural language.
When a long-running application keeps a database connection open for the app lifetime, it is likely that the connection is often idle and…
Application connection pooling is a key technology for improving performance and scalability. Another technology, Oracle’s Database…
Closes #24
Spatial ML algorithms and associated features are now included in Oracle Machine Learning for Python (OML4Py) on Autonomous Database Serverless. Using machine learning with spatial algorithms can...
Python has been able to connect to Oracle Database for decades. Over that time, there have been several key, defining moments. The most…
With the fantastic announcement that Oracle Database 23ai is now generally available, I wanted to share some SQL*Plus 23ai enhancements.
python-oracledb 2.0, the extremely popular Oracle Database interface for Python, is now on PyPI.
This video is an introduction to the architecture and key features ...