Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kasia Trapszo discusses how Netflix evolved ...

Explore the features, capabilities and benefits of some of the top data analytics tools to determine which is the best fit for your business. Big data analytics tools have become indispensable, as ...

Data is often referred to as the new oil -- the fuel that drives our industries and creates new billionaires. But data has several advantages over oil because it's cheap, easy to transport, infinitely ...

HPCC Systems (High Performance Computing Cluster), a dba of LexisNexis Risk Solutions, is an open-source big-data computing platform. Flavio Villanustre, vice president technology and CISO at ...

Big data refers to large and complex datasets that traditional data processing methods can’t handle. These collections of information require specialized tools and techniques to extract meaningful ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Joe Cassavaugh shares his journey from ...

Big data is a combination of structured, semi-structured and unstructured data that organizations collect, analyze and mine for information and insights. It's used in machine learning projects, ...

Big data is old news. It fell off the Gartner hype curve in 2015. So, where’s the plateau of productivity? It turns out there’s no one answer for how to get value out of big data. For a moment, let’s ...

Christena Garduno is the CEO of Media Culture, a brand response agency specializing in media planning and buying for nearly 30 years. Big data is transforming the relationship between companies and ...

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 ...