How would you transfer data between your data structures and databases?

For a sophomore computer science student what is the best way to break into big data?

• I am currently a sophomore in college. Iv got 4-5+ years of being involved in computer science.  Currently I'm decently versed with 10 or so programming languages (as I said versed, I claim to be no expert). I am also versed in the area of data structures and algorithms.  In fact as most of us know we almost always need these fundamentals to use or further our developments,  and knowledge .  I've worked on many projects from computer vision for material science research, Web,  algorithmic development,  here and there with game development,  and mobile.  As far as databases go I have delved in the area of SQL(MySQL/Postgresql)  as well as a few Nosql. What would you recommend for a studying comp Sci student to break into big data? What mathematics to further familiarize? What topics? Is there certain subjects within the scope one must inherently learn? I spend rufly 4-7 or more hours of the day programming and involved in computer science (all areas such as math / pure programming / architecture and scalability / and so fourth) in fact  I would say computer science is one of my biggest joys, challenges, and parts of my life.  It's made me who I am,  and continues to help me see no problem is unsolvable you've just yet to find a solution. Thanks for the help.

• Answer:

  You seems on the right track of CS part of big data, I think you could put more effort on statistics and linear algebra (follow some online tutorial or just sit in). After that, you would hopefully dig into machine learning, and a whole loads of topics on data mining (text mining, sentiment mining, opinion mining and etc). After that, then probably you will go into the crazy world of Artificial Intelligence or/and Cognitive Science (not necessarily, but possibly). For the database, no-sql  would be a must. Data structures and algorithms would also be nice to have.