The modern data stack is the third generation of data analysis products to come to prominence since the 90's. The prior waves—data warehouse appliances and then Hadoop—were both big steps forwards but ultimately failed to live up to their initial promise.
Is the modern data stack just another iteration in a long string of “trendy technologies” in data––waves that crash upon the shore but ultimately recede? Or is it somehow more permanent?
The answer to this question drives how we think about the future—how much we invest in skill acquisition and our own career paths, how companies think about investing in both technology investments (easy) and organizational change (much harder).
In this talk, Tristan Handy and Martin Casado make the case that the arrival of the modern data stack is “the end of the beginning” for data analysis and asks what that means for all of us in the industry.