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29:32
Data Science Follow 370 Followers

Wall St. Derivative Risk Solutions Using Geode

Posted by Andre Langevin  on  Sep 21, 2016 Posted by Andre Langevin Follow 0 Followers , Mike Stolz Follow 0 Followers  on  Sep 21, 2016

Andre Langevin and Mike Stolz discuss how Geode forms the core of many Wall Street derivative risk solutions which provide cross-product risk management at speeds suitable for automated hedging.

50:32
Data Science Follow 370 Followers

GoshawkDB: Making Time with Vector Clocks

Posted by Matthew Sackman  on  May 29, 2016 Posted by Matthew Sackman Follow 0 Followers  on  May 29, 2016

Matthew Sackman discusses dependencies between transactions, how to capture these with Vector Clocks, how to treat Vector Clocks as a CRDT, and how GoshawkDB uses them for a distributed data store.

48:25
Data Science Follow 370 Followers

Staying in Sync: from Transactions to Streams

Posted by Martin Kleppmann  on  May 20, 2016 Posted by Martin Kleppmann Follow 1 Followers  on  May 20, 2016

Martin Kleppmann explores using event streams and Kafka for keeping data in sync across heterogeneous systems, and compares this approach to distributed transactions.

45:28
Development Follow 215 Followers

Functional Distributed Programming with Irmin

Posted by Anil Madhavapeddy  on  Oct 31, 2015 Posted by Anil Madhavapeddy Follow 0 Followers  on  Oct 31, 2015

Anil Madhavapeddy introduces the Irmin library by means of a functional queue, shows how the Git mirroring works, and then demonstrates some more complex applications.

44:53
Big Data Follow 42 Followers

Ground-up Introduction to In-memory Data

Posted by Viktor Gamov  on  Oct 10, 2015 Posted by Viktor Gamov Follow 0 Followers  on  Oct 10, 2015

Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.

59:25
Architecture & Design Follow 879 Followers

Making Distributed Data Persistent Services Elastic (Without Losing All Your Data)

Posted by Joe Stein  on  Sep 20, 2015 Posted by Joe Stein Follow 0 Followers  on  Sep 20, 2015

Joe Stein introduces Mesos and managing data services on it, presenting use cases for replacing classic solutions (like cold storage) with new functionality based on these technology.

48:50
Followers

Scaling Uber's Real-time Market Platform

Posted by Matt Ranney  on  Jul 14, 2015 Posted by Matt Ranney Follow 4 Followers  on  Jul 14, 2015

Matt Ranney explains the Uber architecture overall, with a focus on the dispatch systems, the geospatial index, handling failure, and dealing with the distributed traveling salesman problem.

33:44
Followers

Programming and Testing a Distributed Database

Posted by Reid Draper  on  Mar 20, 2015 Posted by Reid Draper Follow 0 Followers  on  Mar 20, 2015

Reid Draper shows how real world distributed database work, communicate and are tested, trading RPC for messaging, unit-tests for QuickCheck, and micro-benchmarks for multi-week stress tests.

55:55
Followers

A Distributed Transactional Database on Hadoop

Posted by John Leach  on  Jan 02, 2015 Posted by John Leach Follow 0 Followers  on  Jan 02, 2015

John Leach explains using HBase co-processors to support a full ANSI SQL RDBMS without modifying the core HBase source, showing how Hadoop/HBase can replace traditional RDBMS solutions.

37:02
Followers

Building a Distributed Data Ingestion System with RabbitMQ

Posted by Alvaro Videla  on  Aug 17, 2014 Posted by Alvaro Videla Follow 3 Followers  on  Aug 17, 2014

Alvaro Videla shows how to build a system that can ingest data produced at separate locations and replicate it across regions using RabbitMQ.

38:34
Followers

How Facebook Scales Big Data Systems

Posted by Jeff Johnson  on  Aug 10, 2014 1 Posted by Jeff Johnson Follow 0 Followers  on  Aug 10, 2014 1

Jeff Johnson introduces Apollo, a hierarchical NoSQL data system meant to deal with Facebook's distributed storage needs.

45:37
Followers

Building a Distributed Data Ingestion System with RabbitMQ

Posted by Alvaro Videla  on  Mar 08, 2014 Posted by Alvaro Videla Follow 3 Followers  on  Mar 08, 2014

Alvaro Videla presents the more advanced features of RabbitMQ: federated brokers, HA queues and support for many protocols and languages.

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