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52:08
JavaScript Follow 114 Followers

React Native in Production

Posted by Adam Miskiewicz  on  Apr 23, 2016 Posted by Adam Miskiewicz Follow 0 Followers  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
Data Science Follow 272 Followers

Rethinking Streaming Analytics for Scale

Posted by Helena Edelson  on  Apr 03, 2016 Posted by Helena Edelson Follow 0 Followers  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
JavaScript Follow 114 Followers

Node4J: Running Node.js in a JavaWorld

Posted by Ian Bull  on  Apr 02, 2016 Posted by Ian Bull Follow 0 Followers  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
Data Science Follow 272 Followers

Real-Time Fraud Detection with Graphs

Posted by Jim Webber  on  Mar 29, 2016 Posted by Jim Webber Follow 0 Followers  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
Data Science Follow 272 Followers

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

Posted by Joseph Paulchell  on  Feb 28, 2016 1 Posted by Joseph Paulchell Follow 0 Followers  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
Java Follow 375 Followers

Working with Databases & Groovy

Posted by Paul King  on  Jan 22, 2016 Posted by Paul King Follow 0 Followers  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
Data Science Follow 272 Followers

Boot Your Search with Spring

Posted by Christoph Strobl  on  Dec 13, 2015 1 Posted by Christoph Strobl Follow 0 Followers  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
Architecture & Design Follow 614 Followers

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

Posted by Ray Tsang  on  Nov 27, 2015 1 Posted by Ray Tsang Follow 0 Followers  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
Architecture & Design Follow 614 Followers

Modern Apps & Microservices

Posted by Bob Familiar  on  Oct 16, 2015 1 Posted by Bob Familiar Follow 0 Followers  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
NoSQL Follow 18 Followers

Modeling Complex Game Economy with Neo4j

Posted by Yan Cui  on  Oct 13, 2015 Posted by Yan Cui Follow 0 Followers  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.

44:53
Big Data Follow 30 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.

48:01
Followers

Distributed Eventually Consistent Computations

Posted by Christopher Meiklejohn  on  Aug 15, 2015 Posted by Christopher Meiklejohn Follow 0 Followers  on  Aug 15, 2015

Christopher Meiklejohn looks at applying two techniques together, deterministic data flow programming and conflict-free replicated data types, to create highly available and fault-tolerant systems.

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