In this special guest feature, Elaine Wang, CEO of MCoreLab, discusses the key platform requirements and architectural considerations for real-time big data analytics, and provide insights from best ...

Growing wearable device penetration and AI-driven platforms are key drivers Big Data Analytics in Semiconductor and ...

In this video from the Strata 2013 Conference, David Smith from Revolution Analytics describes the five stages of real-time analytics deployment, and the technologies supporting each stage, including ...

Layoffs have hit big tech companies—Amazon, Meta, Google and Microsoft, to name a few—amidst an uncertain economy, and interest rate increases (paywall) have made previous debt loads and borrowing ...

Big data analytics in retail enables detecting customer behavior, discovering customer shopping patterns and trends, improving quality of customer service, and achieving better customer retention and ...

Big data analytics tools have become indispensable, as they offer the insights necessary for organizations to make informed decisions, understand market trends and drive innovation. These platforms ...

The global big data analytics market is driven by enterprises leveraging AI-powered predictive and prescriptive analytics to ...

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space. It’s no surprise that in diagrams and visual ...

Small businesses must make sense of the large amount of information they receive. Here’s how to understand big data so you can ensure company success.

If they’ve used Big Data to any degree, it’s hard to find a company that doesn’t extoll its virtues for predictive and real-time insights. Industrial Big Data in particular—specifically the large and ...

An updated edition of the December 04, 2025 article. Big Data specifically refers to massive amounts of information generated daily from various sources, such as online shopping, sensors, social media ...