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01:09:27
Architecture & Design Follow 259 Followers

Applied Distributed Research in Apache Cassandra

Posted by Jonathan Ellis  on  Jun 10, 2017 Posted by Jonathan Ellis Follow 1 Followers  on  Jun 10, 2017

Jonathan Ellis explains the challenges and successes Cassandra has had in creating transactions, materialized views, and a strongly consistent cluster membership within this peer-to-peer paradigm.

45:50
Data Science Follow 124 Followers

Introducing Apache Ignite

Posted by Christos Erotocritou  on  Jun 24, 2016 Posted by Christos Erotocritou Follow 0 Followers  on  Jun 24, 2016

Christos Erotocritou introduces Apache Ignite, discussing how it is used to solve some of the most demanding scalability and performance challenges. He covers typical use cases and examples.

50:32
Data Science Follow 124 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 124 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.

54:49
Architecture & Design Follow 259 Followers

Building Blocks of a Distributed System

Posted by Oren Eini  on  Feb 03, 2016 Posted by Oren Eini Follow 0 Followers  on  Feb 03, 2016

Oren Eini discusses the building blocks of a reliable, transactional distributed database, covering ACID compliance, consistency, failure handling, monitoring, management, and more.

48:46
Followers

How 30 Years of Ticket Transaction Data Helps you Discover New Shows!

Posted by Vaclav Petricek  on  Aug 19, 2015 Posted by Vaclav Petricek Follow 0 Followers  on  Aug 19, 2015

Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.

33:45
Followers

Mini-talks: Machine Intelligence, Algorithms for Anti-Money Laundering, Blockchain

Posted by David Beyer  on  Aug 02, 2015 Posted by David Beyer Follow 0 Followers , Olaf Carlson-Wee Follow 0 Followers , Richard Minerich Follow 0 Followers  on  Aug 02, 2015

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective. The future of global, trustless transactions on the largest graph: blockchain. Algorithms for Anti-Money Laundering

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.

48:46
Followers

High Throughput Stream Processing with ACID Guarantees

Posted by Terence Yim  on  Dec 04, 2014 1 Posted by Terence Yim Follow 0 Followers  on  Dec 04, 2014 1

Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.

54:45
Followers

Grails Transactions

Posted by Burt Beckwith  on  Jan 25, 2014 Posted by Burt Beckwith Follow 0 Followers  on  Jan 25, 2014

Burt Beckwith discusses performing transactions in Grails, covering services, customizing transaction attributes (isolation, propagation levels), two-phase commit, using JMS, and testing the code.

57:55
Followers

Grails Transactions

Posted by Burt Beckwith  on  Dec 28, 2013 Posted by Burt Beckwith Follow 0 Followers  on  Dec 28, 2013

Burt Beckwith discusses performing transactions in Grails, covering services, customizing transaction attributes (isolation, propagation levels), two-phase commit, using JMS, and testing the code.

27:58
Followers

Transactions: Over Used or Just Misunderstood?

Posted by Mark Little  on  Feb 21, 2013 Posted by Mark Little Follow 2 Followers  on  Feb 21, 2013

Mark Little provides advice on when it is not recommended to use transactions and how to use transactions with Web Services, NoSQL, REST and mobile infrastructures.

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