InfoQ Homepage Streaming Content on InfoQ
-
Next Generation MongoDB: Sessions, Streams, Transactions
Christoph Strobl, Jeff Yemin discuss some of the features in latest MongoDB versions: sessions, change streams, retriable writes, reactive access and transactions.
-
The Whys and Hows of Database Streaming
Joy Gao talks about how database streaming is essential to WePay's infrastructure and the many functions that database streaming serves.
-
Patterns of Streaming Applications
Monal Daxini talks about streaming application patterns and anti-patterns, and use cases and concrete examples using Apache Flink.
-
Streaming SQL to Unify Batch & Stream Processing w/ Apache Flink @Uber
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.
-
Reactive Front-Ends with RxJS and Angular
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.
-
Streaming Reactive Systems & Data Pipes w. Squbs
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.
-
Streaming SQL Foundations: Why I ❤ Streams+Tables
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.
-
Next Steps in Stateful Streaming with Apache Flink
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.
-
Drivetribe: A Social Network on Streams
Aris Koliopoulos talks about how common problems in social media can be resolved with a healthy mix of stream processing and functional programming.
-
Kafka Streams - from the Ground Up to the Cloud
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.
-
Data Decisions with Real-Time Stream Processing
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.
-
Streaming SQL Foundations: Why I ❤Streams+Tables
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.