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50:44

Ingest & Stream Processing - What Will You Choose?

Posted by Pat Patterson, Ted Malaska  on  Aug 14, 2016

Pat Patterson and Ted Malaska talk about current and emerging data processing technologies, and the various ways of achieving "at least once" and "exactly once" timely data processing.

50:32

GoshawkDB: Making Time with Vector Clocks

Posted by Matthew Sackman  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.

52:08

React Native in Production

Posted by Adam Miskiewicz  on  Apr 23, 2016

Adam Miskiewicz goes beyond the React Native docs and talks about best practices for building responsive and production-ready React Native applications with Redux, Relay, and GraphQL.

43:44

Rethinking Streaming Analytics for Scale

Posted by Helena Edelson  on  Apr 03, 2016

Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.

32:13

Node4J: Running Node.js in a JavaWorld

Posted by Ian Bull  on  Apr 02, 2016

Ian Bull introduces Node4J and explores the performance characteristics and highlights the tools that help one develop, debug and deploy Node.JS applications running directly on the JVM.

42:23

Real-Time Fraud Detection with Graphs

Posted by Jim Webber  on  Mar 29, 2016

Jim Webber talks about several kinds of fraud common in financial services and how each decomposes into a straightforward graph use-case. He explores them using Neo4j and Cypher query language.

01:19:35

Supercharging Operations and Analytics: Using Spring XD to Support Analytics and CEP

Posted by Joseph Paulchell  on  Feb 28, 2016 1

Joseph Paulchell discusses the journey from batch-oriented processes using databases to a real-time data streaming solution and the significant benefits achieved as well as the challenges encountered.

01:26:11

Working with Databases & Groovy

Posted by Paul King  on  Jan 22, 2016

Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.

01:21:26

Boot Your Search with Spring

Posted by Christoph Strobl  on  Dec 13, 2015 1

Christoph Strobl focuses on integrating search solutions like Solr, Elasticsearch as well as MongoDBs full text search into an application.

01:28:35

Spring Boot Microservices, Containers, and Kubernetes - How-to

Posted by Ray Tsang  on  Nov 27, 2015 1

R Tsang shows how to create a Java-based microservice using Spring Boot, containerize it using Maven plugins and deploy a fleet of microservices and dependent components such as Redis using Kubernetes

56:51

Modern Apps & Microservices

Posted by Bob Familiar  on  Oct 16, 2015 1

Bob Familiar introduces microservices, discussing their architecture and outlining cloud deployment scenarios, exemplified by a live demo on Microsoft Azure.

24:57

Modeling Complex Game Economy with Neo4j

Posted by Yan Cui  on  Oct 13, 2015

Yan Cui shares lessons learned using Neo4j to model the in-game economy of the "Here Be Monsters" game and automate the balancing process.

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