Blogs

Chosing an edge computing platform

Author : VIJAY VASUDEVAN Mar 24, 2016

Choosing an Edge Computing Platform Does 25ms sound unreasonable to process Terabytes of data? Well it is in today’s IoT world – to collect gigantic amounts of data, process and analyze it, and generate snappy dashboards in just 25ms. Leaders across industries are emphasizing that data absolutely has no value if it cannot be processed and transferred to a...

Smarter cities through iot analytics

Author : DEVANG MEHTA Mar 14, 2016

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...

IOT for farming

Author : DEVANG MEHTA Feb 29, 2016

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. However, one look at the farm of today paints a much different picture. Today’s successful farms are...

Edge analytics in glassbeam

Author : ASHOK AGARWAL Feb 25, 2016

So you heard me TALK ABOUT edge computing. Now lets look at edge analytics. In other words, dynamically created business rules implemented at run time? Hmmm, great idea, but difficult to implement. Even more difficult if you further simplify the generation of such rules through an intuitive drag and drop UI. Analytics is another name for early action and Rules...

Glassbeam edge computing – a primer

Author : ASHOK AGARWAL Feb 22, 2016

As the Internet of Things inevitable starts coming into it’s own, the origin of data has evolved from people to machines to “things”. Technologies emerged from leaders like Google and Facebook to enable analyzing tons of data in massive data farms deployed in the cloud. All that is well and good, but the approach itself needed moving this “ton” of data to a...

Glassbeam studio architecture

Author : SURAJ ATREYA Feb 17, 2016

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,...

Introducing glassbeam studio

Author : PRAMOD SRIDHARAMURTHY Feb 16, 2016

I am delighted to announce the release of Glassbeam Studio – the industry’s first Data Transformation and Preparation tool for complex machine data. According to Gartner, by 2018, data discovery and data management evolution will drive most organizations to augment centralized architectures with decentralized approaches. Most business users and analysts will...

IOT in our daily lives

Author : DEVANG MEHTA Feb 03, 2016

I met an old friend after quite a white this past weekend. I barely uttered the word ‘IoT’ while updating him on my career, and he immediately began gushing at what the industry had done for him. He mentioned how, on the golf course last weekend, he he sliced (yet another!) drive into the woods, and an app connected to his driver reminding him how to straighten...

New iot applications take benefits to a new level

Author : DEVANG MEHTA Jan 20, 2016

CB INSIGHTS, which offers range of consulting, research and database services to the venture community, recently published a series of articles that demonstrates the continued growth and accelerating adoption of IoT Applications. One ARTICLE traces IoT funding, noting there has been $500 million in investments in private IoT companies in four of the last six...

Semiotic parsing language – the language for machine data analytics

Author : PRAMOD SRIDHARAMURTHY Jan 13, 2016

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...

Pages