In the fast-evolving world of data engineering, two methods of data analysis have emerged as the dominant, yet competing, approaches: batch processing and stream processing. Batch processing, a ...

If you haven’t heard of Flink until now, get ready for the deluge. As one of a stream of Apache incubator-to-top-level projects turned commercial effort, the data processing engine’s promise is to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

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 ...

If you've ever gotten a more spacious closet, a larger desk, or even a bigger house, you've probably been surprised at how quickly it fills up and no longer seems quite big enough. Business computers ...

Hortonworks is publishing a series of blog posts on its website that explain the basics and finer details of Apache Hadoop YARN. Those who are curious about YARN or want to understand its significance ...

Legacy “batch” data processing systems have long included tools for managing performance and ensuring security. StarTree is bringing those same capabilities to real-time data analysis and AI ...

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...

Emerson has introduced DeltaV Edge Environment 2.0, the newest version of its edge technology for delivering OT (operations technology) applications and contextualized control data anywhere in the ...