BT
x Share your thoughts on trends and content!
Older rss
39:00

ETL Is Dead, Long-live Streams

Posted by Neha Narkhede  on  Dec 06, 2016

Neha Narkhede shares the experience at LinkedIn moving from ETL to real-time streams, the challenges of scaling Kafka to hundreds of billions of events/day, supporting thousands of engineers, etc.

39:47

Event Sourcery

Posted by Sebastian von Conrad, James Ross  on  Sep 17, 2016

Sebastian von Conrad and James Ross explain how to use event sourcing in order to keep the cost of change lower.

53:32

Adventures in Elm: Events, Reproducibility, and Kindness

Posted by Jessica Kerr  on  Aug 02, 2016

Jessica Kerr introduces Elm, focusing on its architecture: how it overturns what is essential in object-oriented and even back-end functional programming.

54:56

Server-Less Design Patterns for the Enterprise with AWS Lambda

Posted by Tim Wagner  on  Jul 08, 2016

Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.

44:09

Handling Streaming Data in Spotify Using the Cloud

Posted by Neville Li, Igor Maravić  on  Jul 06, 2016

Neville Li and Igor Maravić cover the evolution of Spotify’s event delivery system, discussing lessons learned moving it into the cloud using Scio, a high level Scala API for the Dataflow SDK.

50:46

Large-Scale Stream Processing with Apache Kafka

Posted by Neha Narkhede  on  Jul 03, 2016

Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.

48:25

Staying in Sync: from Transactions to Streams

Posted by Martin Kleppmann  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.

40:32

Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year

Posted by Peter Bakas  on  May 19, 2016

Peter Bakas presents in detail how Netflix has used Kafka, Samza, Docker, and Linux to implement a multi-tenant pipeline processing 700B events/day in the Amazon AWS cloud.

36:31

RxJava and SWT: Out with Events, in with FRP

Posted by Ned Twigg  on  Apr 28, 2016 2

Ned Twigg discusses using RxJava to wrap SWT events, looking at a few simple SWT UI's, and coding them using raw SWT and then again using RxJava.

39:53

Connecting Stream Processors to Databases

Posted by Gian Merlino  on  Apr 03, 2016

Gian Merlino discusses stream processors and a common use case - keeping databases up to date-, the challenges they present, with examples from Kafka, Storm, Samza, Druid, and others.

44:40

The Simple Life of ReSTful Microservices

Posted by Sebastien Lambla  on  Mar 10, 2016 2

Sebastien Lambla explores how complexity can be reduced to its smallest cohesive parts, communication normalized through evolvable contracts, ReSTful and event-driven interfaces.

01:24:19

Building Microservices with Event Sourcing and CQRS

Posted by Michael Ploed  on  Mar 04, 2016 4

Michael Ploed talks about the distributed data management challenges that arise in a microservices architecture and how they can be solved using event sourcing in an event-driven architecture.

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.