Skip to main content

The Database Is Dead - Gartner

Very amusing story in zdNet about how since individual devices will eventually all have RFID on them, a database is no longer required - just realtime access to where things are - right?

Well, if you read further into the article, it's not that it's about databases themselves (hopefully Feinberg isn't so naive as to think that tracking numbers isn't a job for a database- but then who knows) - but rather it's the DBAs.

The quote:
a point made by the Gartner analysts is that there's a bit of urban myth to the idea that data must always be stored — or cached — in a database. Sometimes when you really think about the business processes that the data must support and then the degree to which the data must persist to support that process, you may realize that you don't need a database after all. As data is moved closer to its source and only kept in one place, not only is the quality is better, according to Friedman, "the data is where you need it, when you need it and only lasts for as long as you need it."

Well - except when you need to track where it went, etc.

However, for that, I do agree that
" The result is that structured data and SQL will take a back seat to XML and XQuery. "

It's an interesting idea and one that especially holds true after Steve Black's session on how to sell VFP.

Forget about talking about databases - and talk about information flow. I have always maintained that a database is simply the repository of information and those who like to make the arguments for and against specific formats are primarily guardians trying to protect their own little "kingdoms". Best part about FoxPro is that it works with all of those formats.

But it's also a valuable time to think about the LINQ project - because if I can grab all of my data from its various sources with a single object declaration (better examples here)- then I should be VERY happy about that.


Comments

Popular posts from this blog

Elevating Project Specifications with Three Insightful ChatGPT Prompts

For developers and testers, ChatGPT, the freely accessible tool from OpenAI, is game-changing. If you want to learn a new programming language, ask for samples or have it convert your existing code. This can be done in Visual Studio Code (using GitHub CoPilot) or directly in the ChatGPT app or web site.  If you’re a tester, ChatGPT can write a test spec or actual test code (if you use Jest or Cypress) based on existing code, copied and pasted into the input area. But ChatGPT can be of huge value for analysts (whether system or business) who need to validate their needs. There’s often a disconnect between developers and analysts. Analysts complain that developers don’t build what they asked for or ask too many questions. Developers complain that analysts haven’t thought of obvious things. In these situations, ChatGPT can be a great intermediary. At its worst, it forces you to think about and then discount obvious issues. At best, it clarifies the needs into documented requirements. ...

Respect

Respect is something humans give to each other through personal connection. It’s the bond that forms when we recognize something—or someone—as significant, relatable, or worthy of care. This connection doesn’t have to be limited to people. There was an  article  recently that described the differing attitudes towards AI tools such as ChatGPT and Google Gemini (formerly Bard). Some people treat them like a standard search while others form a sort of personal relationship — being courteous, saying “please” and “thank you”. Occasionally, people share extra details unrelated to their question, like, ‘I’m going to a wedding. What flower goes well with a tuxedo?’ Does an AI “care” how you respond to it? Of course not — it reflects the patterns it’s trained on. Yet our interaction shapes how these tools evolve, and that influence is something we should take seriously. Most of us have all expressed frustration when an AI “hallucinates”. Real or not, the larger issue is that we have hi...

Friend vs Therapist vs LLM: Shades of Grey

The conversations with AI series brings up a single point and then compares it between different LLM engines. These types of conversations were one of the many contributing factors to my writing of " Towards Consciousness " that explores the benefits and issues of creating a conscious AI. In this scenario, I was interested in seeing how an LLM might differ from a friend or therapist on issues that may have nuanced responses or contexts. In doing so, I came up with an interesting discussion on shades of grey. My Premise: Is it a bit strange to be using an LLM as a sober second thought? Every time I walk down this path of “why use an LLM to do certain things”, I come back to the alternatives that people like to say. “Why not bring it up with a friend?” A friend typically has your back or will say whatever to support their own agenda. “A therapist?” That’s someone who is “trained” to be impartial. But a computer? A computer is impartial based on two logical outcomes. If you say ...