Is TOON the Next Lightweight Hero in Event Stream Processing with Apache Kafka?

 The data serialization format is a key factor when dealing with stream processing, as it decides how efficiently the data is forwarded on the wire and optimized internally in order […]

Using Schema Registry to Manage Real-Time Data Streams in AI Pipelines

In today’s AI-powered systems, real-time data is essential rather than optional. Real-time data streaming has started playing an important impact on modern AI models for applications that need quick decisions. […]

AI on the Fly: Real-Time Data Streaming from Apache Kafka To Live Dashboards

In the current fast-paced digital age, many data sources generate an unending flow of information, a never-ending torrent of facts and figures that, while perplexing when examined separately, provide profound […]

Real-Time at Sea: Harnessing Data Stream Processing to Power Smarter Maritime Logistics

According to the International Chamber of Shipping, the maritime industry has increased fourfold in the last four decades. As the complexity of marine trade increases, ports and shipping companies need […]

Driving Streaming Intelligence On-Premises: Real-Time ML with Apache Kafka and Flink

Lately, companies, in their efforts to engage in real-time decision-making by exploiting big data, have been inclined to find a suitable architecture for this data as quickly as possible. With […]

Dark Data Demystified: The Role of Apache Iceberg

Lurking in the shadows of every organization is a silent giant—dark data. Undiscovered log files, unread emails, silent sensor readings, and decades-old documents collecting digital dust are all examples of […]

The Role of Materialized Views in Modern Data Stream Processing Architectures + RisingWave

Incremental computation in data streaming means updating results as fresh data comes in, without redoing all calculations from the beginning. This method is essential for handling ever-changing information, like real-time […]

Unlocking the Power of Patterns in Event Stream Processing (ESP): The Critical Role of Apache Flink’s FlinkCEP Library

We call this an event when a button is pressed, a sensor detects a temperature change or a transaction flows through. An event is an action or state change that is […]

Real-Time Redefined: Apache Flink and Apache Paimon Influence Data Streaming’s Future

Apache Paimon is made to function well with constantly flowing data, which is typical of contemporary systems like financial markets, e-commerce sites, and Internet of Things devices. It is a […]

Revolutionize Stream Processing with the Power of Data Fabric

A data fabric is an innovative system designed to seamlessly integrate and organize data from multiple sources, making it easily accessible, usable, and shareable. Think of it as a connected […]