Data Stream Processing and Analytics - Schedule

<< back

Schedule

Date

 

Lecture

Slides

 18.02    Stream processing fundamentals  lecture-0.pdf
 lecture-1.pdf
 25.02    Stream ingestion and publish-subscribe systems  lecture-2.pdf
 04.03    Guest Lecture: Frank McSherry (Timely Dataflow)  lecture-3.pdf
 11.03    Languages, windows, and operator semantics I  lecture-4-a.pdf
 18.03  

 Languages, windows, and operator semantics II

 lecture-4.pdf

 25.03  

 Guest LectureMichael Noll (Apache Kafka) 

 lecture-5.pdf
 01.04  

 Handling time and progress

 lecture-6.pdf
 08.04  

 Streaming query optimization, scheduling,
 and distributed execution

 lecture-7.pdf
 15.04    State management and fault tolerance I  lecture-8.pdf
 29.04    Self-study  
 06.05    State management and fault tolerance II  lecture-9.pdf
 13.05    Dynamic scaling and state migration  lecture-10.pdf
 20.05    Data stream mining algorithms  lecture-11.pdf
 27.05    **Semester project demos**