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What is an Industrial Digital Twin?
October 5, 2017
Q: What is an Industrial Digital Twin? An industrial Digital Twin is a virtual representation of an industrial part or machine that incorporates simulations and models with sensor field data to optimize design and create predictive maintenance regimes. The Industrial Internet of Things (IIoT) has created an ecosystem of smart machines, machine components, sensors and […]
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Industry 4.0 Eats Dark, Unstructured Sensor Data
September 25, 2017
We are at the precipice of another industrial revolution, popularly known as Industry 4.0. There are several forces of technology that have the potential to shape Industry 4.0 — Big Data, Artificial Intelligence, Robotics and the Internet of Things (IoT). But it’s the explosion of data in the last decade that will dictate how these […]
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Mining For “Crown Jewel” Data Sets: Q&A With Manuel Terranova
September 11, 2017
In the age of Industry 4.0, Big Data and the Internet of Things, manufacturing companies are, for the most part, focused on analyzing and using structured data sets. However, for all the data generated in your company, much of it, including “Crown Jewel Data sets” are trapped in monolithic storage architectures. What are Crown Jewel […]
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Unstructured Data Access in the Aviation Industry
September 1, 2017
The aviation industry faces daily challenges in the management of massive data. Faced with a burgeoning growth of aviation stress and structural data, it is becoming increasingly difficult for engineers to find and quickly analyze mission-critical data. The problems are typically related to unstructured data access, find functions or “federated search” and data management. For […]
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Companies must be ready for their ‘Kodak moments’
March 1, 2017
Q: Let’s say you’re a data architect working in a Fortune 100 industrial company today. What keeps you up at night? What are the changes in the marketplace that should be on your radar? A: Well, it’s really several business and tech changes converging at once. One big change is the transition from an “iron” […]
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Peaxy Executive Series: Data Lake Challenges
February 15, 2017
Implementing a data lake—“a massive, easily accessible data repository built on (relatively) inexpensive computer hardware for storing ‘big data’”— can avoid duplication of efforts, encompass a company’s full data store, simplify data acquisition and storage, and democratize data within the enterprise. For details, see our previous post, What is a Data Lake? What are the […]
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Peaxy Executive Series: What is a Data Lake?
February 1, 2017
A data lake is “a massive, easily accessible data repository built on (relatively) inexpensive computer hardware for storing ‘big data.’ ” The term was invented by James Dixon of Pentaho to describe the vast data repositories used in modern Big Data applications. Enterprises often use data lakes as repositories for reduced-order, structured data sets. Post-processing […]
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How fast can real data access be?
December 1, 2016
When you use the cloud for heavy duty engineering computations, you quickly find out that although storage is inexpensive, you never know how fast you can access your data. If you want guaranteed performance in terms of IOPS, the price quickly goes up. This has to do with the distance your data has to travel. […]
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The Evolving Need for Data Access
September 15, 2016
America is a nation of pioneers: if you own a house, you do not hire a network of handymen… you collect your tools and do your own maintenance. Some people can do everything with a Swiss army knife, but most people quickly find out that life is better when you use the proper tool for […]
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Better Storage for Hadoop
July 15, 2016
Hadoop is able to make solving many real-world problems much easier, but sometimes the system design can mean unnecessary duplication of data and limited access. One example is in the digitization of paper-based content. Rasterizing PDF in commercial printing One of the key features of a PDF is that each page is independent of all other […]
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