In recent years, the notion that “big data is dying” seems to be gaining traction. Some say the big data craze has faded, while others lament the shrinking job opportunities, the increasing complexity of platforms, and the growing intricacy of business demands. But does this really mean big data is dying?
I don’t think so. In my view, what’s truly dying is not big data itself, but rather the outdated “dragon-slaying techniques” that no longer have any “dragons” to slay. The “dragon” has evolved, while our weapons remain stuck in the past. Technology needs to evolve, architectures need to be restructured, and capabilities need to be upgraded.