BT
Older Newer rss
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.

44:53

Ground-up Introduction to In-memory Data

Posted by Viktor Gamov  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

Distributed Eventually Consistent Computations

Posted by Christopher Meiklejohn  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.

53:05

LDAP at Lightning Speed

Posted by Howard Chu  on  Jul 05, 2015

Howard Chu covers highlights of the LMDB design and discusses some of the internal improvements in slapd due to LMDB, as well as the impact of LMDB on other projects.

49:53

Lightning Fast Cluster Computing with Spark and Cassandra

Posted by Piotr Kołaczkowski  on  Jun 17, 2015

Piotr Kołaczkowski discusses how they integrated Spark with Cassandra, how it was done, how it works in practice and why it is better than using a Hadoop intermediate layer.

48:15

How to Train Your Docker Cloud

Posted by Andrew Kennedy  on  May 16, 2015

Andrew Kennedy talks about the reasons for creating a Docker cloud and how Clocker was born.

General Feedback
Bugs
Advertising
Editorial
Marketing
InfoQ.com and all content copyright © 2006-2016 C4Media Inc. InfoQ.com hosted at Contegix, the best ISP we've ever worked with.
Privacy policy
BT

We notice you’re using an ad blocker

We understand why you use ad blockers. However to keep InfoQ free we need your support. InfoQ will not provide your data to third parties without individual opt-in consent. We only work with advertisers relevant to our readers. Please consider whitelisting us.