BT
Older rss
51:39
Data Science Follow 530 Followers

Streaming SQL Foundations: Why I ❤Streams+Tables

Posted by Tyler Akidau  on  Feb 17, 2018 Posted by Tyler Akidau Follow 0 Followers  on  Feb 17, 2018

Tyler Akidau explores the relationship between the Beam Model and stream & table theory, stream processing in SQL with Apache Beam, Calcite, Flink, Kafka KSQL and Apache Spark’s Structured streaming.

01:11:44
Architecture & Design Follow 1349 Followers

Cloud Event-Driven Architectures with Spring Cloud Stream 2.0

Posted by Oleg Zhurakousky  on  Feb 01, 2018 Posted by Oleg Zhurakousky Follow 0 Followers , Gary Russell Follow 0 Followers  on  Feb 01, 2018

Oleg Zhurakousky and Gary Russell overview various types of event-driven architectures, and how the different message-oriented components of the Spring portfolio fit into the picture.

54:53
Data Science Follow 530 Followers

When Streams Fail: Kafka Off the Shore

Posted by Anton Gorshkov  on  Jul 18, 2017 1 Posted by Anton Gorshkov Follow 0 Followers  on  Jul 18, 2017 1

Anton Gorshkov discusses how to evaluate and architect a resilient streaming platform, focusing on Kafka and Spark streaming and sharing his experience of using them to process financial transactions.

47:03
Data Science Follow 530 Followers

Real-Time Recommendations Using Spark Streaming

Posted by Elliot Chow  on  Mar 30, 2017 Posted by Elliot Chow Follow 0 Followers  on  Mar 30, 2017

Elliot Chow discusses the data pipeline that they built with Kafka, Spark Streaming, and Cassandra to process Netflix user activities in real time for the Trending Now row.

27:35
Data Science Follow 530 Followers

I Can't Believe It's Not a Queue: Using Kafka with Spring

Posted by Joe Kutner  on  Jan 29, 2017 Posted by Joe Kutner Follow 0 Followers  on  Jan 29, 2017

Joe Kutner talks about Kafka and where it fits in a Spring app and how to make it do things message queues simply can't.

01:05:34
Data Science Follow 530 Followers

Reactive Kafka

Posted by Rajini Sivaram  on  Jan 14, 2017 1 Posted by Rajini Sivaram Follow 0 Followers  on  Jan 14, 2017 1

Rajini Sivaram talks about Kafka and reactive streams and then explores the development of a reactive streams interface for Kafka and the use of this interface for building robust applications.

01:04:19
Java Follow 617 Followers

Spring for Apache Kafka

Posted by Gary Russell  on  Jan 12, 2017 Posted by Gary Russell Follow 0 Followers  on  Jan 12, 2017

Gary Russell takes a look at the features of the spring-kafka project as well as the new version (2.0) of spring-integration-kafka which is now based on the Spring for Apache Kafka project.

39:00
Data Science Follow 530 Followers

ETL Is Dead, Long Live Streams

Posted by Neha Narkhede  on  Dec 06, 2016 1 Posted by Neha Narkhede Follow 2 Followers  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.

50:44
Data Science Follow 530 Followers

Ingest & Stream Processing - What Will You Choose?

Posted by Pat Patterson  on  Aug 14, 2016 1 Posted by Pat Patterson Follow 0 Followers , Ted Malaska Follow 0 Followers  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.

30:44
Data Science Follow 530 Followers

Monitoring and Troubleshooting Real-Time Data Pipelines

Posted by Alan Ngai  on  Jul 20, 2016 Posted by Alan Ngai Follow 0 Followers , Premal Shah Follow 0 Followers  on  Jul 20, 2016

Alan Ngai and Premal Shah discuss best practices on monitoring ​distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.

50:46
Data Science Follow 530 Followers

Large-Scale Stream Processing with Apache Kafka

Posted by Neha Narkhede  on  Jul 03, 2016 Posted by Neha Narkhede Follow 2 Followers  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
Data Science Follow 530 Followers

Staying in Sync: from Transactions to Streams

Posted by Martin Kleppmann  on  May 20, 2016 Posted by Martin Kleppmann Follow 3 Followers  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.

Login to InfoQ to interact with what matters most to you.


Recover your password...

Follow

Follow your favorite topics and editors

Quick overview of most important highlights in the industry and on the site.

Like

More signal, less noise

Build your own feed by choosing topics you want to read about and editors you want to hear from.

Notifications

Stay up-to-date

Set up your notifications and don't miss out on content that matters to you

BT