Scale Cast – A podcast about big data, distributed systems, and scalability
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Scale Cast – A podcast about big data, distributed systems, and scalability
A podcast about big data, distributed systems, and scalability
Recent Episodes
10 episodes
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 application...
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...
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...
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 computa...
Announcing Scalecast – A Meta Podcast about Designing Scalable Systems
Today, I’m announcing a new meta podcast about designing scalable systems named Scalecast. I’ve been seeing more and more conference interesting prese...
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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...