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 used for collecting data, processing data, …