Brands need to improve their data currency, embracing the data sources, systems and technologies that will allow them to know ...

In today’s fast-paced digital world, real-time data processing systems are the unsung heroes powering our everyday ...

As real-time data becomes essential to deliver on an AI strategy, organizations will increasingly treat it as a product. The ...

By combining the strengths of Apache Kafka and Kubernetes, Sudheer Vankayala explores a transformative approach to real-time ...

Scylla Enterprise 2020 is a major release of ScyllaDB’s high-performance NoSQL database for real-time big data workloads. ScyllaDB positions its software as an alternative to Amazon DynamoDB and ...

From blockbuster acquisitions, to controversy over data privacy and protection, to the rapid incorporation of artificial intelligence and machine learning within business analytics tools, 2019 was ...

With an ever increasing amount of data available to us, why is it still so difficult to make decisions about marketing investments? Despite all of this data, there is still a knowledge gap. What we ...

Intel's Alan Priestly discusses real-time analytics at Computing's recent Big Data Summit, and takes questions from the audience Alan Priestly, director, strategic marketing EMEA, Intel ...

All of which puts Ooyala at the cutting edge of big data technology, with the ability to expand rapidly and to provide real-time intelligence based on huge data sets. So what effect does Bakas ...

GridGain, provider of a leading real-time data processing and analytics platform, is introducing GridGain for AI, enabling organizations to use GridGain as a low-latency data store for real-time AI ...