BIG DATA ANALYTICS

What’s On the Chief Data Officers’ Table to Wrestle Data Preparation

The need for proper tool to organize and understand the underlying patterns in machine data exists. From what we’ve been hearing, that’s gripping the Chief Data Officer’s mind. Why?

PTC and Glassbeam to Showcase Industry Leadership in Internet of Things Analytics

We are working with our partner PTC to produce a series of thought-leadership materials aimed at helping developers, business managers, Internet of Things enthusiasts get started on the ThingWorx Analytics Internet of Things (IoT) platform.

Here’s the announcement from PTC on the upcoming thought leadership meetups: https://www.thingworx.com/about/news/ptc-thingworx-partners-showcase-industry-leadership-iot-analytics/

7 Must Have Items on Your Checklist Before You Consider Machine Data Analysis

These are the 7 key factors that highlight whether performing machine data analysis realizes credible value for you.

1. Prepare the raw data —

Most of machine data are in the form of logs. Industrial machines are constantly producing valuable operational data (call-home data) on configuration, performance, usage, and other important parameters that define the very life of the device in the field.

Tis the season of conferences

Glassbeam is gearing up for Conference season – we are going to be attending two major events in Q2.

Smarter cities through iot analytics

For the first time in history, MORE PEOPLE LIVE WITHIN CITIES than outside them. This huge influx of people means that cities have to be able to find ways to quickly provide services to larger numbers of people, rapidly uncover and analyze pain points in providing these services, and plan ahead to accommodate the continuing migration. In particular, more people translates to more cars on the road.

IOT for farming

When you think of life on the farm, a life of waking up before the rooster crows, then heading out to the fields for the day to seed, plow, fertilize and reap in the hot sun before going home for the night and starting over the next day usually come to mind.

Glassbeam studio architecture

GLASSBEAM STUDIO is a one of a kind software which helps in data transformation and preparation, visualizing data, deployment and much more. The Glassbeam Studio technology is modeled on a client-server architecture with functionalities balanced neatly between the client and the server. This software is architected to offer an infinitely scalable, seamlessly, and functionally compelling way to transform even the most complex machine data into valuable business insights.

Metadata extraction

Semiotic parsing language – the language for machine data analytics

The Internet of Things (IoT), an ever-growing number of connected devices, generates vast amounts of data, called “Machine Data”, complex in variety, volume and velocity. Machine data is information about the device, like its configuration, status, performance, usage and more. Manufacturers across data-intensive industries – such as storage, wireless, networking and medical devices – are struggling to make sense of all this data. Analyzing machine data can help organizations with reactive diagnostic activity, predictive problem identification, and business intelligence.

Congratulations to our authors at glassbeam!

One of the best things for us at Glassbeam has always been the team! We have some of the smartest engineers with each one an expert in their domain. 2016 was a great start for three engineers here as they became first time authors on topics that are core to what we do at GLASSBEAM. The important part is that they wrote these books without impacting work schedules, which shows the passion and commitment they have for their craft.

Build versus buy – an empirical approach (part 1)

In this two-part Blog post, we will examine the pros and cons or building an in-house IOT ANALYTICS SOLUTION versus licensing a solution from a leading industry player like Glassbeam…

Pages