A monthly overview of things you need to know as an architect or aspiring architect. Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on ...

Decodable, the well-funded real-time data engineering and stream processing platform based, in part, on the Apache Flink open source project, is launching a major update today that aims to make the ...

A funny thing happened while the tech world was focused almost exclusively on ChatGPT over the past eight months: Adoption of other cutting-edge technologies kept growing. One of those is real-time ...

Hadoop disrupted, and in some ways became synonymous with big data, by offering a framework for cheap storage and scale out processing. Parallel to Hadoop came the flurry of NoSQL solutions that also ...

Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength ...

Previously, we introduced streaming, saw some of the benefits it can bring and discussed some of the architectural options and vendors / engines that can support streaming-oriented solutions. We now ...

The conversation around real-time data, fast data and streaming data is getting louder and more energetic. As the age of big data fades into the sunset -- and many industry folks are even reluctant to ...

The Spark streaming analytics engine is one of the most popular open source tools for weaving big data into modern applications architectures with over 800 contributors from 200 organizations. It ...

SANTA CLARA, Calif., Sept. 21, 2023 — Timeplus, creator of one of the industry’s fastest and most powerful streaming analytics platforms, announced today that it has licensed its core engine, Proton, ...

As businesses compete for customers in the digital world, the ability to make rapid decisions based on trustworthy data is critical for survival. Companies are eager to adopt emerging technologies ...

Real-time streaming is essential for big data analytics and provides valuable insights from data being processed while current and most relevant, rather than hours or days later. With the big data ...

LONDON--(BUSINESS WIRE)--As the data generated across industries continue to grow, there exists a growing need to capture and analyze these data sets in real-time. The exponential rise in data is also ...