Big Data

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Teaching Your Computer

As I have written in my last two articles (Machine Learning Everywhere and Preparing Data for Machine Learning), machine learning is influencing our lives in numerous ways. more>>

iguazio's Continuous Analytics Solution

In industries like financial services, healthcare and IoT, organizations are faced with the challenge of complexity across the entire data lifecycle. To help enterprises solve big data operational challenges and generate real-time insights, iguazio has developed a new Continuous Analytics Solution. more>>

CyKick Labs Ltd.'s Telepath

When a shopper enters a store, the retailer doesn't know if the person will simply browse, make purchases, shoplift or hold up the register. The same goes for visitors to a website. The challenge is to prevent and stop the bad guys without hindering beneficial customer transactions. more>>

Preparing Data for Machine Learning

When I go to Amazon.com, the online store often recommends products I should buy. I know I'm not alone in thinking that these recommendations can be rather spooky—often they're for products I've already bought elsewhere or that I was thinking of buying. How does Amazon do it? more>>

Omesh Tickoo and Ravi Iyer's Making Sense of Sensors (Apress)

In today's data-driven world, we are surrounded by sensors collecting various types of data about us and our world. more>>

MultiTaction's MT Canvus-Connect

"A new era in visual collaboration" is the promise of MT Canvus-Connect, MultiTaction's new real-time collaboration software that enables visual touchscreen collaboration across remote locations in real time. more>>

How to Fix the Edge

In December 2016, Peter Levine of the venture firm Andreessen Horowitz published a post with a video titled "Return to the Edge and the End of Cloud Computing" In it, he outlines a pendulum swing between centralized and distributed computing that goes like this: more>>

SUSE Linux Enterprise High Availability Extension

Historically, data replication has been available only piecemeal through proprietary vendors. In a quest to remediate history, SUSE and partner LINBIT announced a solution that promises to change the economics of data replication. more>>

Machine Learning Everywhere

The field of statistics typically has had a bad reputation. It's seen as difficult, boring and even a bit useless. Many of my friends had to take statistics courses in graduate school, so that they could analyze and report on their research. To many of them, the classes were a form of nerdy, boring torture. more>>

iguazio's Enterprise Data Cloud

The description of iguazio's new flagship Enterprise Data Cloud platform is bold and simple: the world's fastest, simplest and lowest-cost enterprise data cloud. iguazio adds that unleashing the full potential of megatrend applications and analytics for big data, IoT and cloud-native applications, it has pioneered a new service-driven approach to enterprise d more>>

Netlist, Inc.'s HybriDIMM Storage Class Memory

The metachallenge in today's data-saturated world is turning Big Data into actionable insight. A straight line to faster insights can be found in Netlist, Inc.'s new HybriDIMM Storage Class Memory (SCM), which the company describes as the industry's first standards-based, plug-and-play SCM solution. more>>

Identity: Our Last Stand

Linux has built countless cathedrals, but still no bazaar. more>>

Pandas

Serious practitioners of data science use the full scientific method, starting with a question and a hypothesis, followed by an exploration of the data to determine whether the hypothesis holds up. more>>

Analyzing Data

My first Web-related job was in 1995, developing Web applications for a number of properties at Time Warner. When I first started there, we had a handful of programmers and managers handling all of the tasks. But over time, as happens in all growing companies and organizations, we started to specialize. more>>

How Will the Big Data Craze Play Out?

I was in the buzz-making business long before I learned how it was done. That happened here, at Linux Journal. Some of it I learned by watching kernel developers make Linux so useful that it became irresponsible for anybody doing serious development not to consider it—and, eventually, not to use it. Some I learned just by doing my job here. more>>

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