Tag: CAP

Episode 504: Frank McSherry on Materialize

Filed in Episodes by on March 22, 2022 0 Comments
Episode 504: Frank McSherry on Materialize

Frank McSherry, chief scientist at Materialize, talks about the Materialize streaming database, which supports real-time analytics by maintaining incremental views over streaming data. Host Akshay Manchale spoke with Frank about various ways in which analytical systems are built over streaming services today, pitfalls associated with those solutions, and how Materialize simplifies both the expression of […]

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Episode 413: Spencer Kimball on CockroachDB

Filed in Episodes by on June 17, 2020 0 Comments
Episode 413: Spencer Kimball on CockroachDB

Spencer Kimball, Co-Founder and CEO of Cockroach Labs talks about CockroachDB, an open source distributed database system. Host Akshay Manchale spoke with Kimball about his past experience with relational databases that convinced him of the need for a better open source distributed database. . Spencer talks about challenges involved in using a sharded single node […]

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SE-Radio Episode 241: Kyle Kingsbury on Consensus in Distributed Systems

Filed in Episodes by on November 3, 2015 8 Comments
SE-Radio Episode 241: Kyle Kingsbury on Consensus in Distributed Systems

Kyle Kingsbury, known as Aphyr on Twitter and for his blog by the same name, talks to Stefan Tilkov about consensus in distributed systems and about his experience in testing systems to see how they behave in case of failures. In addition to discussing some of the theoretical foundations, such as the CAP theorem, isolation […]

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Episode 229: Flavio Junqueira on Distributed Coordination with Apache ZooKeeper

Filed in Episodes by on June 17, 2015 8 Comments
Episode 229: Flavio Junqueira on Distributed Coordination with Apache ZooKeeper

Flavio Junqueira is the author of Zookeeper: Distributed Process Coordination. Flavio and Jeff Meyerson begin by defining ZooKeeper and talking about what ZooKeeper is and isn’t. ZooKeeper can be thought of as a patch against certain fallacies of distributed computing: that the network is secure, has zero latency, has infinite bandwidth, and so on. With […]

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