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01:10:46

Cloud Native Streaming and Event-driven Microservices

Posted by Marius Bogoevici  on  Jan 14, 2017 Posted by Marius Bogoevici  on  Jan 14, 2017

Marius Bogoevici demonstrates how to create complex data processing pipelines that bridge the big data and enterprise integration together and how to orchestrate them with Spring Cloud Data Flow.

39:00

ETL Is Dead, Long Live Streams

Posted by Neha Narkhede  on  Dec 06, 2016 1 Posted by Neha Narkhede  on  Dec 06, 2016 1

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  on  Sep 17, 2016 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 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 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  on  Jul 06, 2016 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 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 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 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 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 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 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.

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