O'Reilly - Distributed Systems in One Lesson

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Added on October 10, 2015 by TutsMasterin Other > Tutorials
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O'Reilly - Distributed Systems in One Lesson (Size: 5.08 GB)
 CAP Theorem - Distributed Systems in One Lesson.flv338.33 MB
 Consistent Hashing - Distributed Systems in One Lesson.flv556.06 MB
 Distributed Computation Introduction - Distributed Systems in One Lesson.flv141.38 MB
 Distributed Consensus- Paxos - Distributed Systems in One Lesson.flv208.88 MB
 Distributed Transactions - Distributed Systems in One Lesson.flv482.71 MB
 Hadoop - Distributed Systems in One Lesson.flv377.79 MB
 Kafka - Distributed Systems in One Lesson.flv304.29 MB
 Lambda Architecture - Distributed Systems in One Lesson.flv133.86 MB
 Map Reduce - Distributed Systems in One Lesson.flv269.56 MB
 Messaging Introduction - Distributed Systems in One Lesson.flv123.92 MB
 Network Time Protocol - Distributed Systems in One Lesson.flv122.18 MB
 Read Replication - Distributed Systems in One Lesson.flv129.52 MB
 Sharding - Distributed Systems in One Lesson.flv294.41 MB
 Spark - Distributed Systems in One Lesson.flv426.4 MB
 Storm - Distributed Systems in One Lesson.flv291.15 MB
 Synchronization - Distributed Systems in One Lesson.flv54.06 MB
 Vector Clocks - Distributed Systems in One Lesson.flv181.09 MB
 Welcome - Distributed Systems in One Lesson.flv173.99 MB
 What Distributed Systems Are, and Why They Exist - Distributed Systems in One Lesson.flv78.75 MB
 Wrap-Up - Distributed Systems in One Lesson.flv159.27 MB
 Wrap-Up - Distributed Systems in One Lesson_2.flv41.68 MB
 Zookeeper - Distributed Systems in One Lesson.flv316.29 MB

Description

Simple tasks like running a program or storing and retrieving data become much more complicated when you do them on collections of computers, rather than single machines. Distributed systems have become a key architectural construct, but they affect everything a program would normally do.
Using a series of examples taken from a fictional coffee shop operation, this video course with Tim Berglund helps you explore five key areas of distributed systems, including storage, computation, timing, communication, and consensus. You’ll also learn about some distributed programming paradigms.

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5.08 GB
seeders:20
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O'Reilly - Distributed Systems in One Lesson