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IoT Tips

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This video continues Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. It covers some modeling techniques to help build better predictive models. It discusses the dangers of models that overfit data, and how to avoid overfitting. 
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This video continues Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. It then begins to describe some of the performance metrics used to evaluate predictive models. 
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This video continues Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. It describes the remaining machine learning algorithms used by ThingWorx Analytics to build predictive models that weren't covered in Part 1. In addition, this video describes the different kinds of ensembles you can build that utilize multiple algorithms. 
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This video begins Module 6: Predictive Models & Model Validation of the ThingWorx Analytics Training videos. It gives examples of different types of goal variables. It also discusses data considerations in predictive modeling, It begins describing the machine learning algorithms used by ThingWorx Analytics to build predictive models. 
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This video concludes Module 5: Descriptive Analytics of the ThingWorx Analytics Training videos. It covers signals, profiles, and clusters, and how these forms of descriptive analytics provide crucial insight into your data.
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This video begins Module 5: Descriptive Analytics of the ThingWorx Analytics Training videos. It covers signals, profiles, and clusters, and how these forms of descriptive analytics provide crucial insight into your data.
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This video concludes Module 4: Data Transformation & Feature Engineering of the ThingWorx Analytics Training videos. It covers Descriptive Services and Derived Properties, and how they can be leveraged to create helpful alerts and make data transformation easier. 
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This video begins Module 4: Data Transformation & Feature Engineering of the ThingWorx Analytics Training videos. It describes what data transformation is, and how feature engineering can improve machine learning models. You will learn about independent and dependent variables in your data, and how an "analytics ready view" looks for use with ThingWorx Analytics.
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This video concludes Module 3: Data Profiling of the ThingWorx Analytics Training videos. It shows you a few examples of questions that should be asked of a subject-matter expert (SME) to better understand the information contained in a dataset. Using answers to these questions, you will  use a tool such as Microsoft Excel to modify a given dataset, and prepare it for future exercises in this course.
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This video is Module 2: Use Case Discussion of the ThingWorx Analytics Training videos. It covers what a use case is, and what a successful use case requires. It details a few examples that have been explored using ThingWorx Analytics. 
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This video continues Module 1: ThingWorx Analytics Overview of the ThingWorx Analytics Training videos. It covers some of the functionality of the ThingWorx platform, as well as ThingWorx Analytics capabilities.
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  Connect   Connect Your Data to ThingWorx In the world of IoT application development, connectivity refers to the infrastructure and protocols which connect devices to the cloud or network. Edge devices handle the interface between the physical world and the cloud. ThingWorx provides you with several different tools for connecting to the ThingWorx platform. Your decision on which connectivity method to pick will be dependent on your individual use case.   Learning Paths Connect and Configure Industrial Devices and Systems   Featured Guides Install ThingWorx Kepware Server Connect to an Azure OPC UA Server   REST API Use the REST API to Connect Low-Capability Devices to ThingWorx   Using the ThingWorx REST API is an easy way for low-capability devices to connect with the ThingWorx platform and push data to the platform. Any edge device that can make an HTTP POST can read and update properties or execute services on the ThingWorx platform.   Choose a Connectivity Method Use REST API to Access ThingWorx Connect an Arduino Developer Board   Edge SDKs Connect natively to ThingWorx using an AlwaysOn protocol SDK.  Secure, embeddable, and easily deployable communications designed for connecting sensors, devices and equipment across any network topology and any communication scenario.   SDKs are available for Java, C, .net and allow you to connect your devices to ThingWorx with the AlwaysOn protocol. Using the Edge SDKs will give you all the flexibility you need to meet your application's requirements and build robust, secure, full-featured edge integrations and gateways for any platform.   ThingWorx Edge SDKs SDK Reference C SDK Tutorial Java SDK Tutorial   Edge Microserver The Edge Microserver proxies connections via AlwaysOn   Connect your devices to the ThingWorx platform with the Edge MicroServer, a pre-built application that enables devices incapable of making TLS connections to securely interact with the platform.   Connect Raspberry Pi to ThingWorx Choose a Connectivity Method   Kepware Server Access data from industrial machine controllers   ThingWorx Kepware Server with 150+ industrial protocol drivers allows you to easily connect to different types of industrial equipment. The interface provides real-time, bi-directional industrial controls data to the ThingWorx Platform via the AlwaysOn protocol.   Install ThingWorx Kepware Server   Device Cloud Connectors Connect devices with the adapter of your choice and integrate with ThingWorx to build scalable IoT applications.   Connect Azure IoT Devices     Analyze   Analyze and Visualize IoT Data The AI and Machine Learning technologies used in ThingWorx Analytics automate much of the complex analytical processes involved in creating data-driven insights for your IIoT application. Simulate behavior of physical products in the digital world, use predictive analytic algorithms to find patterns in your business data and generate a prediction model, or build a real-time anomaly detection model by monitoring for data points that fall outside of an expected range.   Learning Paths Monitor Factory Supplies and Consumables Design and Implement Data Models to Enable Predictive Analytics   Featured Guides Operationalize an Analytics Model Build a Predictive Analytics Model   Perform Analytical Calculations Embed analytics capabilities into your industrial IoT applications in order to monitor real-time data, predict future events and conditions, and optimize performance of devices and organizations.   Operationalize an Analytics Model Build a Predictive Analytics Model Monitor an SMT Assembly Line Statistical Monitoring with Descriptive Analytics Perform Statistical Calculations with Descriptive Analytics     Build   Rapid, Model-based Application Development Build your industrial IoT application using ThingWorx’s drag-and-drop GUI development environment, model-based development platform. Using the ThingModel to describe assets, processes, and organizational elements and how they relate to each other. Define the functional behavior, add business logic, and extend your application with pre-built plugins. With a properly-constructed framework, your application will be scalable, flexible and more secure.   Learning Paths Medical Device Service Design and Implement Data Models to Enable Predictive Analytics   Featured Guides Get Started with ThingWorx for IoT Data Model Introduction   Build the Data Model Define the properties, services, and events of Things you want to expose to your application developers. The ThingWorx Data Model is a logical representation of the physical devices, systems, and people that interact with your application.   Data Model Introduction Monitor an SMT Assembly Line Data Model Implementation Design Your Data Model   Leverage the Data Model Leverage your data model using events subscriptions, and custom business logic.   Monitor an SMT Assembly Line Methods for Data Storage Bind Data to Widgets Implement Services, Events, and Subscriptions Create Custom Business Logic Application Development Tips & Tricks Create Session Parameters   Extend the Platform Capabilities Take advantage of extensions from partners and third-parties to add new functionality into your system in a seamless manner. Extensions can be service (function/method) libraries, connector templates, widgets, and more.   Create An Extension Create A Mashup Widget Extension Create An Authentication Extension     Manage   ThingWorx Platform Management Efficiently manage your assets with visibility and control over your IoT solution. Install, configure and troubleshoot your application, while monitoring performance and communication with devices. Offering a comprehensive set of tools and features, ThingWorx enables remote access, file transfers, software upgrades, logging, debugging, and more.   Learning Paths Getting Started on the ThingWorx Platform Using an Allen-Bradley PLC with ThingWorx   Featured Guides Deploy an Application   Manage Your Platform Compare Persistence Providers   Manage Your Applications Operationalize application updates, OS upgrades, patches and documentation.   Deploy an Application Compare Persistence Providers     Experience   Design Engaging Experiences Use the industry’s first purpose built IoT application development environment to design engaging experiences for web and mobile applications. Designed to reduce the time, cost, and risk required to build new innovative IoT applications, this layer has two distinct functions: build-time and run-time. Build-time encompasses the technology to create the things in your Industrial IoT solution while Run-time includes the operational permissions to execute and manage those things.   Learning Paths Getting Started on the ThingWorx Platform Customize UI and Display Options to Deploy Applications   Features Guides Create Your Application UI   Application Layout (UI)  Utilize the ThingWorx Mashup Builder tools to design and create engaging IoT applications.   Define Your UI Style Add Style to Your UI with CSS Effective UI Implementation   Charts & Graphs Bring your IoT data to life with dynamic charts and graphs.   How to Display Data in Charts   Reusable Components Leverage the ThingWorx widget library to create a robust user experience and enhance your application capabilities.   Object-Oriented UI Design Tips Display Geolocation Data Using Google Maps Organize Your UI with the Collection Widget     Secure   Securely Collect and Process Data ThingWorx is secure by design and offers multiple authentication options to increase the security of your IoT application. From TLS-encrypted communication and role-based access controls to the distribution of security patches, ThingWorx integrates a range of security features that you can leverage in your development process.   Learning Paths Getting Started on the ThingWorx Platform   Featured Guides Configure Permissions   IoT Application Security Authenticate devices on our platform. ThingWorx handles data transformation, data persistence, and business logic so you can focus on developing your application.   Configure Permissions Enabling LDAP Authentication in ThingWorx Create An Authentication Extension Create An Application Key
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Use the Edge MicroServer (EMS), Foundation, and Analytics to engineer a Smart, Connected Products play for the Automotive segment.   NOTE: Complete the following guides in sequential order. The estimated time to complete this learning path is 240 minutes.   1. Use the Edge MicroServer (EMS) to Connect to ThingWorx  Part 1 Part 2 Part 3 2. Use the EMS to Create an Engine Simulator  Part 1 Part 2 Part 3 Part 4 3. Engine Simulator Data Storage  Part 1 Part 2 4. Build an Engine Analytical Model  Part 1 Part 2 Part 3 5. Manage an Engine Analytical Model  Part 1 Part 2 6. Engine Failure-Prediction GUI 7. Enhanced Engine Failure Visualization  Part 1 Part 2 Part 3
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    Install a Connected Components Workbench to program an Allen-Bradley PLC   Guide Concept   In this guide, you'll install Rockwell Automation's Connected Components Workbench, which facilitates programming of an Allen-Bradley PLC.   You'll learn how to   Create a Rockwell Automation Account Download software from Rockwell Automation's website Install Connected Components Workbench   NOTE: The estimated time to complete this guide is 60 minutes       Step 1: Learning Path Overview   Welcome to the Rockwell Automation Learning Path!   This first guide explains the steps to get up and running with Rockwell's Connected Components Workbench, a software program to facilitate connecting to and configuring Programmable Logic Controllers, i.e. PLCs.   PLCs are commonly used in factories and other automation scenarios to control minor aspects, such as turnning particular devices on or off based on a particular situation.   Note that you don't necessarily have to run through this guide as part of the Learning Path. If you simply want to learn how to install Connected Components Workbench, this guide can still be useful to you.   But assuming you are using this guide as part of the Rockwell Automation Learning Path, then the first elements will be to install your software, i.e.:   Connected Components Workbench ThingWorx Kepware Server ThingWorx Foundation (for Windows)   You'll then connect an Allen-Bradley PLC to Connected Components Workbench and then to ThingWorx Kepware Server.   Next, we'll propogate that information further from ThingWorx Kepware Server into Foundation. Finally, we'll use Foundation's Mashup Builder to construct a GUI which can both receive and send information to the PLC.   We hope you enjoy this Learning Path.       Step 2: Signup   To access Rockwell Automation software, you first have to create an account on the Rockwell Automation website.   Go to the Rockwell Automation site.   In the top-right, click the "person symbol" for Account.   On the right, click Create an Account.   Enter a valid email address which you control and click Continue.   Enter your first and last names, your country, and click Continue.   Enter your job information and click Continue.   Enter and re-enter a password, check the EULA agreement box, and click Create Account.   Rockwell will send a verification email to the address you previously entered.   Locate the email and click Verify My Email Address.   A new browser tab will open with your verification; click Proceed to Sign In.   Sign-in with your verified email address.       Step 3: Download   Now that you have a verified Rockwell account, you will download Connected Components Workbench.   This download is a little different in that it actually has two parts.   You have to download both, and then run a built-in combiner to get access to the actual installation files.   Go to the Connected Components Workbench download site. Click Select Files. On the pop-up, check Connected Components Workbench and click Downloads. On the new pop-up, click DOWNLOAD NOW. On the download Software End-User License Agreement page, click Accept and Download. Move the download into a separate folder. Right-click on the download and select Run as administator. Agree to let the program make changes to your computer.   The download-manager will then begin the download of the actual software. Click Close when the download has completed.   Notice that there is now a new C:\RA\CCW folder.   Right-click on part1.exe and select Run as administator.   On the WinRAR self-extracting archive window, click Extract.   Notice that there is now a new "DVD" folder.   Navigate into the "DVD" folder.   Notice the Setup.exe file, which will be used to install Connected Components Workbench.       Step 4: Install   Now that you have Connected Components Workbench properly downloaded and extracted, you can begin the installation.   Right-click on Setup.exe and select Run as administrator. Click Yes to allow the program to make modifications to your computer.   Click Install now.   On the EULA screen, click Accept all.   Allow the installer to run to completion. This may take ~30 minutes..   Click Restart now to reboot and complete the installation.   After restarting, you may be asked to set your Country/Territory.   Click OK to confirm.   In the Windows "Start" menu, navigate to and expand the Rockwell Automation folder.   Click Connected Components Workbench.       Step 5: Next Steps   Congratulations! You've successfully completed the Connected Components Workbench installation guide.   In this guide, you learned how to:   Create a Rockwell Automation Account Download software from Rockwell's website Install a Connected Components Workbench   The next guide in the Using an Allen-Bradley PLC with ThingWorx learning path is Install ThingWorx Kepware Server.    Learn More    Capability Resource Manage Install ThingWorx Kepware Server   Additional Resources   For additional information on Rockwell:    Resource Link Documentation Rockwell Literature Library Documentation Connected Components Workbench
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Utilize Foundation and the Edge MicroServer (EMS) to connect and monitor remote Medical Devices for service-applications.   NOTE: Complete the following guides in sequential order. The estimated time to complete this learning path is 180 minutes.   1. Create An Application Key 2. Use the Edge MicroServer (EMS) to Connect to ThingWorx  Part 1 Part 2 Part 3 3. Setup a Raspberry Pi as an IoT Device Part 1 Part 2 Part 3 Part 4 4. Medical Data Storage and Display  Part 1 Part 2 Part 3
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Build, customize, and deploy IoT applications with ThingWorx.   NOTE: Complete the following guides in sequential order. The estimated time to complete this learning path is 270 minutes.   1. Create Your Application UI  Part 1 Part 2 Part 3 Part 4 Part 5 2. Basic Mashup Widgets  Part 1 Part 2 Part 3 3. Define Your UI Style  Part 1 Part 2 4. Object-Oriented UI Design Tips 5. Deploy an Application 6. How to Display Data in Charts  Part 1 Part 2 Part 3
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Configure and connect industrial devices and systems in any environment.   NOTE: Complete the following guides in sequential order. The estimated time to complete this learning path is 180 minutes.   1. Configure Permissions  Part 1 Part 2 2. Choose a Connectivity Method 3. Use REST API to Access ThingWorx  Part 1 Part 2 Part 3 Part 4 4. Java SDK Tutorial  Part 1 Part 2 Part 3 Part 4 Part 5 5. C SDK Tutorial  Part 1 Part 2 Part 3 Part 4
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Send data from MXChip development board to ThingWorx with Azure IoT hub   NOTE: Complete the following guides in sequential order. The estimated time to complete this learning path is 90 minutes.   1. Connect MXChip to Azure IoT 2, Create An Application Key 3. Connect Azure IoT Devices Part 1 Part 2 4. Create A Thing Shape
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Utilize the power of ThingWorx to secure, connect, log, analyze, and see what is happening in your highly structured and secure system.   NOTE: Complete the following guides in sequential order. The estimated time to complete this learning path is 240 minutes.   1. Securing Resources and Private Data Part 1 Part 2 2. Connecting External Databases and Model  Part 1 Part 2 Part 3 3. Low Level Device Connection Part 1 Part 2 Part 3 4. Tracking Activities and Statistics 
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Build robust, secure, full-featured edge integrations and gateways for any platform using C, .NET, Java (supporting Android development).  Tutorials are available for the C and Java SDK's by clicking the relevant link below.     C SDK The C SDK is the basis for ThingWorx Edge SDKs and the Edge MicroServer (EMS). You can compile C SDK applications on any platform and even run it without an operating system. Using the C SDK for your application means least amount of RAM, processing power, and disk space, frequently requiring less than 200 kilobytes. The C SDK is also the only SDK that is distributed as source code.       Java SDK The Java SDK is especially useful if you are integrating with an application that uses a Java-based API. While applications based on the Java SDK tend to use more RAM, processing power, and disk space than a C SDK equivalent application, they typically take less time to develop. To use it, you will need a platform with a supported Java Virtual Machine. The Java SDK support Android development.       .NET SDK Use the Microsoft .NET SDK when integrating with a .net based application or if your team typically works with Microsoft technologies. It may only be used on Windows based machines.  
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U Term Definition user An account that can be used to access ThingWorx (design time and/or run time). user group A collection of users to provide a common level of security-access. Allows you to categorize users of the ThingWorx system. User groups can contain users and groups. All permission settings and overrides are cumulative. The ThingWorx default security policy is restrictive. When you create a new group or user, the account will not have any rights in ThingWorx until you assign them. user management subsystem Subsystem that manages session and password hash settings. See Subsystem.   V Term Definition value stream processing subsystem Subsystem that manages value stream storage and retrieval. See Subsystem. value stream A storage table for time-series information about a Thing's property values. Querying a Value Stream returns the value of the specified property. virtual Thing A modeled Thing defined in Edge that is represented as a remote Thing in the ThingWorx Platform. visibility A simple form of access control. If an entity is visible to members of an organizational unit, those members have access to the entity, and the underlying granular security model determines what interaction members of that organization unit have with a specific asset. Visibility can be set at the collection level, the individual entity level, or at the visibility level of the Thing Template instance. vocabulary A collection of terms used to create tags.   W Term Definition WebSocket-based Edge MicroServer (WS EMS) Allows edge devices or data stores to connect to the ThingWorx Platform through the internet or a firewall using the AlwaysOn™ binary protocol. WebSocket communications subsystem Subsystem that handles core WebSocket communications. See Subsystem. WebSocket execution processing subsystem Subsystem that handles WebSocket execution processing. See Subsystem. widget The components placed on a Mashup such as grids, charts, text boxes, buttons, and navigation links. Anything that is visible or clickable is a widget. wiki A type of Widget that mimics the functionality of a 'collaborative website', and allows collaborative editing of its content and structure by its users. Wikis may have posts added by both human users and the system itself.
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