![]() And companies that have long ago deployed devices in various areas of their operations are now connecting them into an IIoT network with the hope mining the data in these devices to gain business insights to deliver new digital services.Īccording to Redlinger, isolated systems and fragmented solutions that now exist within organisations create a silo problem that prevent them from getting the total picture , Gartner estimates that there will be 25 billion connected devices by the end of the year. And by turning raw data to refine data that is optimally prepared for your analytical applications, you will enable them to provide high-value insights for your business cases.” “It should be capable of performing data processing such as transforming and filtering your data in order to increase the quality of your data at an early stage. Redlinger added that the data pipeline of the IoT architecture should not only serve as “a simple data funnel that simply ingest all data” that cross its path. Redlinger and his SVA colleague, IoT engineer Patrick Nieto Castro, were co-presenters during the “From Sensor To Cloud” session at last week’s. “In order to enable interoperability and data-driven applications and end-to-end scenarios, such data pipeline in combination with an open platform is crucial,” he stressed. And, of course, it needs to be able to connect to other systems via a clearly structured API.” It must be capable of sharing data and insights with end-users via desktops and mobile clients. And the platform has to be open on both sides in terms of ingestion as well as output. So, it has to be agnostic pipeline that you can expand for other protocols as well. “The pipeline needs to be able to integrate data from various sources in different formats. You also need an open and agnostic data pipeline that forwards your data from the devices to your platform,” said Philipp Redlinger, IoT architect at German-based System Vertrieb Alexander (SVA). ![]() “You need to integrate data from different sources into one holistic data platform. Companies need to build an open IoT architecture that embraces a holistic approach to data and analytics that would allow them to see a complete overview of their entire production site.
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