Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Huge quantities of log data generated by all sorts of devices opens immense potential for insight, but machine learning is needed to make sense of it Machine-generated log data is the dark matter of ...

Japan’s Fujitsu Laboratories is trying to address the demand for faster processing in big-data systems that handle analytics workloads. Today the Japanese company said it’s created a new technology ...

The global Big Data market is expected to hit $67 billion in worth by 2021 with a compound annual growth rate of 18.45%. While most companies already have the respective capabilities for big data ...

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 ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Apache Spark has been called a game changer and perhaps ...

For some time Microsoft didn’t offer a solution for processing big data in cloud environments. SQL Server is good for storage, but its ability to analyze terabytes of data is limited. Hadoop, which ...

Data centers are taking on ever-more specialized chips to handle different kinds of workloads, moving away from CPUs and adopting GPUs and other kinds of accelerators to handle more complex and ...

In life science research, data comes in many forms - structured clinical trial tables, semi-structured instrument outputs, ...

A clear big data definition can be difficult to pin down because big data can cover a multitude of use cases. But in general the term refers to sets of data that are so large in volume and so complex ...