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33:49
AI, ML & Data Engineering Follow 864 Followers

Streaming SQL to Unify Batch & Stream Processing w/ Apache Flink @Uber

Posted by Shuyi Chen  on  Jun 19, 2018 Posted by Shuyi Chen Follow 0 Followers , Fabian Hueske Follow 0 Followers  on  Jun 19, 2018

Shuyi Chen and Fabian Hueske explore SQL’s role in the world of streaming data and its implementation in Apache Flink and covering streaming semantics, event time, and incremental results.

01:06:15
JavaScript Follow 381 Followers

Reactive Front-Ends with RxJS and Angular

Posted by Sergi Almar  on  Jun 03, 2018 Posted by Sergi Almar Follow 1 Followers  on  Jun 03, 2018

Sergi Almar introduces the fundamentals of RxJS, explaining how to manage data streams like UI events, async HTTP requests, and WebSockets / SSE in a uniform way.

39:48
Architecture & Design Follow 2097 Followers

Streaming Reactive Systems & Data Pipes w. Squbs

Posted by Anil Gursel  on  May 04, 2018 Posted by Anil Gursel Follow 0 Followers , Akara Sucharitakul Follow 0 Followers  on  May 04, 2018

Anil Gursel and Akara Sucharitakul focus on modeling and building software that considers all input and all output as stream of events, and introducing Squbs.

46:55
AI, ML & Data Engineering Follow 864 Followers

Streaming SQL Foundations: Why I ❤ Streams+Tables

Posted by Tyler Akidau  on  May 04, 2018 1 Posted by Tyler Akidau Follow 1 Followers  on  May 04, 2018 1

Tyler Akidau explores the relationship between the Beam Model and stream & table theory and explains what is required to provide robust stream processing support in SQL.

50:00
Architecture & Design Follow 2097 Followers

Next Steps in Stateful Streaming with Apache Flink

Posted by Stephan Ewan  on  May 02, 2018 Posted by Stephan Ewan Follow 1 Followers  on  May 02, 2018

Stephan Ewan talks about how Apache Flink is making stateful stream processing even more expressive and flexible to support applications in streaming that were previously not considered streamable.

37:42
AI, ML & Data Engineering Follow 864 Followers

Kafka Streams - from the Ground Up to the Cloud

Posted by Marius Bogoevici  on  Mar 01, 2018 Posted by Marius Bogoevici Follow 1 Followers  on  Mar 01, 2018

Marius Bogoevici introduces the Kafka Streams API and the Kafka Streams processing engine, showing how to write and deploy Kafka Streams applications using Spring Cloud Stream.

49:35
AI, ML & Data Engineering Follow 864 Followers

Data Decisions with Real-Time Stream Processing

Posted by Serhat Yilmaz  on  Feb 28, 2018 Posted by Serhat Yilmaz Follow 0 Followers  on  Feb 28, 2018

Serhat Yilmaz talks about how Facebook is using stream processing at scale, the difficulties they have encountered and the solutions they have created to date.

51:39
AI, ML & Data Engineering Follow 864 Followers

Streaming SQL Foundations: Why I ❤Streams+Tables

Posted by Tyler Akidau  on  Feb 17, 2018 Posted by Tyler Akidau Follow 1 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.

50:06
AI, ML & Data Engineering Follow 864 Followers

The Power of Distributed Snapshots in Apache Flink

Posted by Stephan Ewen  on  Feb 16, 2018 Posted by Stephan Ewen Follow 0 Followers  on  Feb 16, 2018

Stephan Ewen talks about how Apache Flink handles stateful stream processing and how to manage distributed stream processing & data driven applications efficiently with Flink's checkpoints&savepoints.

54:20
AI, ML & Data Engineering Follow 864 Followers

Panel: SQL over Streams, Ask the Experts

Posted by Tyler Akidau  on  Dec 05, 2017 Posted by Tyler Akidau Follow 1 Followers , Stephan Ewen Follow 0 Followers , Michael Armbrust Follow 0 Followers , Jay Kreps Follow 1 Followers , Julian Hyde Follow 0 Followers  on  Dec 05, 2017

The panelists discuss the new generation of Stream Processing engines.

53:33
Architecture & Design Follow 2097 Followers

Survival of the Fittest - Streaming Architectures

Posted by Michael Hansen  on  Jul 26, 2017 Posted by Michael Hansen Follow 1 Followers  on  Jul 26, 2017

Michael Hansen talks about the core principles that will stand the tests of streaming evolution, the potential pitfalls that we may stumble over on our path to streaming and how to avoid these.

41:46
AI, ML & Data Engineering Follow 864 Followers

Streaming for Personalization Datasets at Netflix

Posted by Shriya Arora  on  Jul 26, 2017 Posted by Shriya Arora Follow 0 Followers  on  Jul 26, 2017

Shriya Arora discusses challenges faced with stream processing unbounded datasets, comparing microbatch with event-based approaches using Spark and Flink.

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