Abstract
Data-driven decision making is critical for all kinds of enterprises, public and private. It has been my mission to find more efficient, and effective ways to store, manage, query and analyze data to drive actionable insights. Throughout my career, I worked on many different technologies and systems, including semi-structured query processing, and large-scale data analytics. In this talk, I will talk about lessons learned, both technical and non-technical, using two of these systems as examples.
Publisher
Association for Computing Machinery (ACM)
Subject
General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development