PODCAST
Scale Cast – A podcast about big data, distributed systems, and scalability
A podcast about big data, distributed systems, and scalability
Episodes
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An Introduction to ZooKeeper Video
In 2006 we were building distributed applications that needed a master, aka coordinator, aka controller to manage the sub processes of the applications. It was a scenario that we had encountered before and something that we saw repeated over and over again inside and outside of Yahoo!. For…
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More Optimal Bloom Filters
The Bloom filter, conceived by Burton H. Bloom in 1970, is a space-efficient probabilistic data structure that is used to test whether an element is a member of a set. False positives are possible, but false negatives are not. Elements can be added to the set, but not removed (though this can be...
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An Overview of High Performance Computing and Challenges for the Future
In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of software libraries and algorithms are needed for the…
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Disk-Based Parallel Computation, Rubik’s Cube, and Checkpointin
This talk takes us on a journey through three varied, but interconnected topics. First, our research lab has engaged in a series of disk-based computations extending over five years. Disks have traditionally been used for filesystems, for virtual memory, and for databases. Disk-based computation...
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Lecture 5: Cluster Computing and MapReduce
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Lecture 3: Cluster Computing and MapReduce
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Lecture 4: Cluster Computing and MapReduce
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Lecture 2: Cluster Computing and MapReduce
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Lecture 1: Cluster Computing and MapReduce
Lecture 1 in a five part series introducing mapreduce and cluster computing. See http://code.google.com/edu/… for slides and other resources. Link to video
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ABOUT THIS SHOW
A podcast about big data, distributed systems, and scalability
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