Large Language Models (LLMs) have revolutionized many aspects of technology and business. However, the effectiveness and accuracy of these models are heavily reliant on the quality and currency of the data they are trained on. Feeding LLMs with fresh data is not just a best
Artificial Intelligence (AI) is buzzing in today’s enterprise circles. Let’s briefly examine using AI in data integration, specifically with Oracle GoldenGate. First, what are the benefits of AI in data integration? Using AI in data integration offers several significant benefits, enhancing data management processes’ efficiency,
Back in 2017 when Oracle GoldenGate 12c (Microservices) was released it came with a new command line tool called AdminClient. Over the course of time, I’ve written about how to use AdminClient but never covered a simple fact of how do you get access to
News on the Oracle GoldenGate front!!!!! Over the years, Oracle has taken the Oracle GoldenGate product and have used it for a wide range of use-cases. In 2017, Oracle introduced the world to the next evolution of Oracle GoldenGate with the release of Oracle GoldenGate
Something that has been brewing for years – since late 2017 – is the constant request from Oracle customers on how to capture data from PostgreSQL databases. Many of Oracle’s customers are either moving towards PostgreSQL and off of Oracle or looking for another way
In recent years, the data integration/replication space has stared to become crowded. Products like Oracle GoldenGate have become stables inside of organizations, but companies like HVR are chipping away at that marketshare. Since I left Oracle, I’ve been evaluating and looking at some of these