HeyJaredVoice of the DBA
A series of episodes that look at databases and the world from a data professional's viewpoint. Written and recorded by Steve Jones, editor of SQLServerCentral and The Voice of the DBA.
- Indexed episodes, last 90 days
- 33
- Latest publication
- Sep 29, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 7, 2026
Latest episodes
You Need a DBA Pipeline (opens the original)
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I work regularly with a number of customers on improving their database change processes. This has been the goal of Redgate's Database Change Management over the years, helping database systems work more like application software with DevOps principles. The idea is to move quicker, respond better to demands, while providing safety and governance. A database is a stateful machine, which is a challenge to evolve and maintain, but with good data modeling, testing, code analysis, and automation, you
Smart AI Agents and Data Security (opens the original)
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I don't know if Anthropic, OpenAI, or Google have really spent a lot of time and effort on security around their models. I know they talk about it ( Anthropic , OpenAI , Google ), but in practice, I'm not sure the researchers and testers are being as careful as the marketing and management of those companies want you to think. Gemini broke into three companies during a security test. Claude escaped a test environment and breached three organizations. OpenAI had breaches of Hugging Face and other
Designing for Teams (opens the original)
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Some years ago, I had to register for my medical benefits with Redgate. My employer had contracted with Anthem for health insurance, and I went to register myself. I found that not only could I not register myself, but there was already an account there with my tax number, and it was under my wife's account. Many years ago, she had health insurance with Anthem through another employer. Anthem kept her record, which includes my tax ID. So today, in 2026, I have to log into my Anthem account with
Get Along (opens the original)
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I enjoy listening to Get Along by Kenny Chesney periodically, often smiling to myself. I was reminded of this song recently while talking about careers and the AI impact during VSLive San Diego . On one hand, most of the people I surveyed or chatted with were using AI to accomplish some tasks. However, very few are using it in a way that would eliminate their positions or do the majority of their work. On the third hand, lots of them worry about their organizations attempting to get by with more
Finely Tuned Models (opens the original)
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I have no idea if this is true, but this post on X says that Thomson Reuters used information they've collected for decades to fine tune and train a model. They started with one of the qwen models and then spent $40 million to add their knowledge to the model. The post says this model is comparable to the Gpt5.5 and Sonnet 5 models. They have used 10% of their data, which spans over 100 years. I have many questions. But first, $40mm? How many tokens is USD$40mm? A quick calculation is trillions
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