Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

Abstract: Data stream processing is a functionality of various AI applications to obtain continuous insights from data streams. Serverless edge computing (SEC) is a key solution for implementing data ...

This is one in a series of articles about best practices in audio processing for radio OTA and streaming. The author is senior product development engineer for Wheatstone. Jeff Keith The streaming ...

Abstract: The real time stream processing engines are developed for different specific use cases, which incorporates various domains such as, IOT, finance, advertisement, telecommunications, ...

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Spring Boot application is a Stack Overflow Data Analyzer that fetches data via the Stack Overflow Open API using request APIs. Then stores the retrieved data in a local database for further ...

The ability to move, manage and process data in real time is the domain of data streaming, which is largely dominated by a series of open-source technologies. The ability to stream data is a core ...

Internet of Things applications analyze the data coming from large networks of sensor devices using relational and signal processing operations and running the same query logic over groups of sensor ...