Objectivity and Intel: Building the Big Data Backbone for the Industrial IoT

Objectivity and Intel: Building the Big Data Backbone for the Industrial IoT

We are at the cusp of the golden age of Fast Data. As more and more organizations deploy massive sensor networks, there is a growing imperative to better leverage increasing volumes of data from sensor networks to provide timely insight and improve business operations. At the same time, a recent McKinsey & Co report on the Internet of Things (“Internet of Things: Mapping the Value Beyond the Hype”) points out that in some industries, less than 1% of data from sensor networks is being utilized in discovering operational insights. This chasm between potential and real value can be bridged through improved streaming analytics tools, data fusion tools, and Hadoop-based enterprise data management systems to allow organizations to pursue new data strategies for creating greater value from IoT Fast Data streams.

Announcing ThingSpan, Objectivity’s Information Fusion Platform for Big and Fast Data

Announcing ThingSpan, Objectivity’s Information Fusion Platform for Big and Fast Data

Objectivity has been a pioneer in the world of Big Data, enabling leading businesses and government organizations to rapidly store, analyze, and find all the relationships and connections within their data from multiple sources, even at enormous scale.

Since our company’s founding more than 20 years ago, our solutions have continually expanded to address the most complex and demanding Big Data challenges—and today, we’re thrilled to announce the newest addition to our product line: ThingSpan, a purpose-built information Fusion platform that simplifies and accelerates an organization’s ability to deploy Industrial Internet of Things (IoT) applications.

When planning for Big Data events is its own Big Data problem

When planning for Big Data events is its own Big Data problem

As a marketing coordinator at Objectivity, I need to have certain qualities: strategic thinking, creativity, and attention to detail—especially when it comes to event planning.

One of the upcoming events that Objectivity will be attending is Strata + Hadoop World, which takes place Sept. 29 – Oct. 1 in New York City. There are many action items to complete before the event starts, one of which is handling logistics. This process can be time-consuming, deciding which giveaways to order, which marketing materials to ship, and which exhibit setup is best suited for this event.

Hard Data vs. Soft Data

Do you ever wonder to yourself: which way home is going to be the fastest today? I know this conundrum personally, for although I have a few options on how to get home (thanks to innovative apps like Waze), I know from experience that the shortest path from work is not always the best choice. There could be unexpected delays from accidents, events, general congestion, construction, or just the particular time of day. Not only do I need to know my actual route options, I also need to understand what is happening along the routes to figure out the best way to get home. This is a perfect example of the entwined relationships of Hard and Soft Data. Hard Data is defined as data in the form of numbers or graphs, as opposed to qualitative information¹. In the world of Big Data and the Internet of Things (IoT), Hard Data describes the types of data that are generated from devices and applications, such as phones, computers, sensors, smart meters, traffic monitoring systems, call detail records, bank transaction records, among others. This information can be measured, traced, and validated. Most organizations today already use Hard Data for analysis, geo-location, predictions, and optimization and are now trying to to differentiate themselves and add more value to their Hard Data applications for their customers. Just like in the earlier example of finding the best traffic route home, organizations are realizing that the best way to exact real value from Big Data is to look at All Data. This, of course, means taking Soft Data into account. Objectivity refers to Soft Data as...
Objectivity Selected to Present at 2015 NoSQL Now!

Objectivity Selected to Present at 2015 NoSQL Now!

We are thrilled to announce that we’ve been accepted to speak at the 2015 NoSQL Now! Conference, August 18-20 at the McHenry Convention Center in San Jose, Ca. Objectivity will be participating as a Platinum sponsor of this event and exhibiting in booth #203. Our presentation on utilizing Spark for next generation Information Fusion workflows addresses a critical need to quickly and effectively derive actionable business insight from all types of streaming, fast-changing, data from multiple sources. As the Internet of Things (IoT) continues to grow at an ever-increasing rate, data professionals from,  CTOs, developers, engineers, and architects, will need to utilize different tools to improve data access for their real-time application requirements. Nick Quinn, our principle architect of InfiniteGraph, will discuss how Objectivity is using Apache Spark in conjunction with graph database for information fusion workflows. Stay tuned for additional details on our presentation time and location. In the meantime, be sure to follow us on Twitter for our latest news and updates....