From the course: Big Data in the Age of AI
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An evolving data landscape
- [Instructor] If you've been in the tech world or even just watching for more than, say, six months, then one thing is clear. It's a rollercoaster. It's got constant ups and downs and twists and turns. It's never the same, and as a result it's also always exciting. I've mentioned elsewhere how the changes in the data world, as anywhere, build on one another like climbing stairs. Data science led to big data, which led to machine learning, which led to artificial intelligence as we now know it, and so on up and up, step by step. And one implication of that is that anything I could tell you about specific technologies or practices like Docker containers or Kubernetes will almost inevitably be obsolete within just a few years. But this is not a cry of hopelessness. Rather, it's a call to action. The idea here is that there will always, always be new technology. There will be new hardware and new software that can be…
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