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Found 7 results

  1. Introduction: Data Analytics has traditionally been associated with the processes involved in using data to inform decision making. It builds on the underpinning principles of data management that are required to build any kind of IT system, including the integration of IoT operational and back-end business systems. In the context of IoT, Data analytics encompasses many approaches including big data, in-memory computing, cloud computing, NoSQL databases, data integration, and interactive analytics, as shown in the diagram below. Diagram courtesy of Jorge Lizama. GHD
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    Predictive Maintenance Webinar Presented by Microsoft and Happiest Minds LIVE WEBINAR:1/11/2018 AT 10:00 AM PST DURATION:60 MINUTES ABSTRACT: Join us as we discuss Predictive Maintenance for Equipment Manufacturers. During the webinar we will show you how AI and IoT, connected and smart ecosystem can ensure equipment uptime and maintenance schedules using historical data. Register now for the upcoming 60 minute webinar! Learn and Apply: Prevent costly equipment failures. Avoid unscheduled downtime by analyzing streaming data to assess conditions, recog
  3. One of my colleagues, Hugh McCann, recently presented our company with an update on his data analytics work. He kicked off with a summary of his home energy usage. I knew he'd been tracking this, and I believe we talked on the day he accidentally deleted 3 months of data! Yep, he's a nerd's nerd and hadn't thought to protect the data because it was just a home project, so you can imagine how he felt. He's just published a more detailed description of how and why he did it here. What immediately strikes me is that what he's done isn't particularly complex and it appears to me that it could
  4. One of my colleagues, Hugh McCann, recently presented our company with an update on his data analytics work. He kicked off with a summary of his home energy usage. I knew he'd been tracking this, and I believe we talked on the day he accidentally deleted 3 months of data! Yep, he's a nerd's nerd and hadn't thought to protect the data because it was just a home project, so you can imagine how he felt. He's just published a more detailed description of how and why he did it here. What immediately strikes me is that what he's done isn't particularly complex and it appears to me that it could
  5. Introduction IoT applications discover and store huge volumes of data from multiple sources, and process it using various forms of data analytics. The results of this analysis need to be presented in a way that is useful to end users and aid in their decision making. Presenting data in visual forms, such as charts and graphs, enables users to understand what is happening at a glance and conceptualise what further investigations are required to understand a complex phenomenon (such as building vibrations). Interactive analytics are a set of tools that allow data analysts to investigat
  6. Introduction Data for IoT applications often comes from many heterogenous sources, which may not be easily brought together for analysis. Data integration is one approach that is used in IoT solutions to allow disparate data to be used to provide useful decision-making support. It is a tool that is often used in data warehousing. Data integration makes use of Extract, Transform, Load (ETL) tools. There are also other new tools including Enterprise Feedback Management (EFM). These are the tools that are utilised to bring the data from one point to the other. ETL vendors are listed in
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    IoT Cluster for Mining & Energy Resources Analytics Webinar - July 6th Register Now & Guarantee Your Place Diary: Webinar, 6th July, 2.30pm ACST Predictive Analytics, Big Data Analysis, and Information Management loom extremely large on our current Technology horizon, particularly in the Mining, Petroleum & Energy Industries. This webinar is the first event in the series AIIA IoTMER is hosting to the end of 2017 to help the industry in getting the best from their data resources, and looking into best practice and what's achievable: Act Locally,
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