Suggested approach to cover data structure literature I am not sure if this question is odd topic or too broad, but I have been wondering about this for a long time, and I would very much appreciate any valuable inputs. 

As a new grad student working on data structures (in this case, related to pattern matching literature), how would someone get through the huge amount of literature that needs to be covered? I have a reasonable understanding of basic data structures, but each time I open a research paper, there are heaps of new terms that I haven't heard before. In an effort to broaden my knowledge, I have been reading a few textbooks. For instance:


Advanced data structures by Peter Brass
Compact Data Structures A Practical Approach by Gonzalo Navarro (which is quite hard to get through)


Still, getting through the research papers seems like a never ending battle. What is a really good approach to get an overview of such huge volume of works done in the area?
If you're looking for data structures at a graduate level, my suggestion would be Erik Demaine's online course materials for his class "Advanced Data Structures" (video lectures and notes) available through MIT Open Courseware at https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-851-advanced-data-structures-spring-2012/

Unfortunately I don't think there is really a good textbook on this material at this level; for this reason, in my own graduate data structures course, I use a collection of Wikipedia readings instead.