CSE 704: Streaming, Incremental and Online Data Processing
This page refers to the Fall 2013 offering of CSE 704 only. The information on this page does not necessarily apply to every offering of CSE 704.
Fall 2013
20527
Over the course of this seminar, students will discuss a range of topics pertaining to online, incremental, and streaming query evaluation, and includes both fundamental concepts, as well as recent innovations. The class will be primarilly focused around systems research, but will include a significant theoretical component. Intensive off-line reading is expected, and students registered for 3 credits will be expected to develop a simple experimental project over the course of the term.
As time goes on, data grows larger, and arrives faster. As of last year, twitter was producing over 400 million tweets per day. The LHC produces 15 petabytes of data per year, and CERN grid can export up to 10 gigabytes per second at its peak rate.
Dealing with this massive data explosion requires innovative techniques to efficiently analyze, monitor, and filter the data. Such techniques can be used to produce new results as data comes in (streaming), update existing results (incremental), or to gradually refine results as more processing takes place (online).
Over the course of this seminar, students will discuss a range of topics pertaining to online, incremental, and streaming query evaluation, and includes both fundamental concepts, as well as recent innovations. The class will be primarilly focused around systems research, but will include a significant theoretical component. Intensive off-line reading is expected, and students registered for 3 credits will be expected to develop a simple experimental project over the course of the term.
CSE 562, Background in Algorithms, Datastructures, and Operating Systems
Ph.D.: This course does not fulfill core area or core course requirements.
M.S.: This course does not fulfill core area or core course requirements.
