Data integration is proving to be the Achilles heel of the Industrial Internet of Things (IIoT) and is blocking progress on the transformations and ROI that industrial enterprises had originally envisioned. Millions of connected devices, sensors and network systems operating throughout smart grids and pipelines are generating billions of data points daily. Industrial organizations are struggling to integrate all this unstructured data from disparate sources, often trapped in siloed legacy systems, and all in different formats.
Attempting to integrate and analyze this data with traditional big data and business intelligence solutions such as data lakes and data warehousing techniques do not adequately solve the unique challenges that companies in the industrial sector are currently facing. Industrial enterprises need solve the data integration challenge first before they can begin thinking about data analysis and the situational awareness of their operations.
What does this mean for oil and gas companies with large data streams and millions of dollars invested in connected devices and assets? Well, not only are they drowning in data, but they are also converging operations with IT, as data begins to get funneled from the operational theater and the field into IT infrastructure. The digital oil field means optimized processes, resource use, and improved decision-making.
How can industrial enterprises prepare to manage this data now? Will traditional approaches to data integration be enough to survive the data tsunami?
Download the white paper to learn more about data enabled applications are solving the data integration challenge at scale for the IIoT.
About the Author: Chris Bowman is a Product Manager of MIx technology at Bit Stew Systems. He is an expert in industrial communication and control, and previously led a variety of laboratory and pilot projects working for a major energy company. He is an IEEE member of the Communications and the Power and Energy societies. Chris began gaining technical experience as part of Canada’s explosive detection R&D group. Following this he worked in the automotive testing industry completing several comprehensive Hydrogen Fuel Vehicle test programs for major OEMs in North America, Japan and Europe. He also developed business services for the emerging Electric Vehicle market in Canada, with a focus on embedded control system testing, telemetry and usage modeling services. He completed a Renewable Energy pilot project at BC Hydro’s Duncan Dam spillway in 2010, which served as the world’s first field installation and dynamics study of multiple vertical axis hydrokinetic turbines. Chris received his B.Sc. in Physics and Ocean Sciences from the University of Victoria in 2006, and went on to become a registered Engineering Physicist in training with APEGBC.