For each paper, your assignment is two-fold. By 10PM the evening before lecture:
You can also upload your questions and answers using curl:
## Answer goes into lecN.txt $ curl -F file=@lec2.txt \ -F key=XXXXXXXX \ http://6824.scripts.mit.edu/submit/handin.py/upload ## Question goes into sqN.txt $ curl -F file=@sq2.txt \ -F key=XXXXXXXX \ http://6824.scripts.mit.edu/submit/handin.py/upload
Lecture 18
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing What applications can Spark support well that MapReduce/Hadoop cannot support?
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