The data landscape is changing right in front of our eyes. We are seeing gargantuan growth in total volume of data; we are generating and consuming massive amounts of video, images, sensor inputs of all sorts.
Moreover, “the type of data that’s growing most rapidly are not the data sets we think of historically as part of the legacy enterprise IT stack,” said Crystal Valentine, vice president of technology strategy at MapR Technologies, in this newest edition of The New Stack Makers podcast.
MapR is a Silicon Valley-based big data company. Its founders realized that data was going to become ever increasingly important, and existing technologies, including open source Apache Hadoop, fell short of being able to support things like real-time transactional operational applications. So they spent years building out core technologies that resulted in the MapR products, including the flagship Converged Data Platform, platform-agnostic software that’s designed for the multicloud environment. It can even run on embedded Edge devices.
This growth of data is leading to the evolution of next-gen applications that’s qualitatively different than legacy enterprise applications. Valentine talked about how these net new applications are driving new innovations and new business models.
In This Edition:
1:11: What does MapR do?
8:47: Exploring next-gen applications.
17:33: Valentine’s perspective on moving toward an age of data-driven applications.
24:00: The evolution of DevOps, data science, and data automation.
29:52: Edge computing and data streams in MapR.
34:04: Rescoring and improving machine learning models for edge computing.