Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

Overview: Modern organizations rely on integrated data platforms to process massive datasets and generate real-time insights.Cloud-native platforms like Snowfla ...

Confluent Inc. today announced expanded capabilities for its managed service for Apache Flink, the open-source big data processing framework. Unlike the regular open-source Flink, it comes with a ...

When it comes to running a successful business, gaining competitive advantage is everything. That said, pinpointing exactly what might give firms that ‘edge’ isn’t an exact science. It might be a new ...

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 ...

Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can be ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

As businesses continue to harness Big Data to drive innovation, customer engagement and operational efficiency, they increasingly find themselves walking a tightrope between data utility and user ...

In this special guest feature, Adam Mollenkopf, Real-Time GIS Capability Lead at Esri, discusses how geospatial technology helps companies make the most of real-time data. Adam is responsible for the ...