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01:04:33

MongoDB Aggregation - Going Way beyond the Query

Posted by  on  Nov 26, 2016

Nuri Halperin discusses the aggregation framework in MongoDB, explaining the pipeline architecture, major operators, and how to put it all together in interesting and effective ways.

25:13

Pyh3: Scalable and High Performance Graph Visualization in 3D Hyperbolic Space

Posted by  on  Nov 06, 2016

Songxiao Zhang introduces Pyh3, a graph visualization library showing tree nodes in a 3D hyperbolic space.

29:05

MongoDB-as-a-Service on Pivotal Cloud Foundry

Posted by  on  Oct 06, 2016

Mallika Iyer and Sam Weaver cover a brief overview of Pivotal Cloud Foundry and deep dive into running MongoDB as a managed service on this platform.

49:48

Using Clojure and Neo4j to Build a Meetup Recommendation Engine

Posted by  on  Sep 02, 2016

Mark Needham shows how a meetup recommendation engine using Neo4j and Clojure can be built from scratch, combining content-based and collaborative filtering using Cypher and Clojure.

50:44

Ingest & Stream Processing - What Will You Choose?

Posted by  on  Aug 14, 2016 1

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  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  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  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  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  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  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  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.

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