This guide will introduce Values Streams, Streams, Data Tables, and Info Tables.
Value Streams and Streams are methods of storage for time-series data, while Data Tables and Info Tables are methods of storage for non-time-series data.
You will learn how to create and utilize these mass data storage methods.
|Est. Time||60 Minutes|
|Published||March 21, 2019|
You'll learn how to
- Tell the difference between data storage methods
- Create a Data Shape to format a Stream, Data Table, and Info Table
- Create a Value Stream and Stream to store Time-Series Data
- Create a Data Table and Info Table to store non-Time-Series Data
- Use built-in methods to log data to a Value Stream or Info Table
- Create custom Services which log data to a Stream or Data Table
- Confirm data storage value changes via a built-in Service or Grid Widget
Things used in this guide
METHODS FOR DATA STORAGE
- Step 1: Choosing Storage
- Step 2: Value Streams
- Step 3: Streams
- Step 4: Data Tables
- Step 5: Info Tables
- Step 6: Next Steps
Challenges For medical device manufacturers, unplanned equipment downtime negatively impacts patient outcomes. That's why medical device manufacturers are adopting a remote service approach.
Solution A Medical device manufacturer used ThingWorx to easily connect to medical devices in the field for remote monitoring of status and performance. The ThingWorx Edge Microserver provides secure, bi-directional connection to send data that is displayed on the web application created using ThingWorx Mashup Builder. Different machine types are modeled using purpose built features of ThingWorx Composer that anticipate this exact use case. ThingWorx seamlessly integrates with other enterprise systems to create a comprehensive, enterprise-wide solution and provides flexibility to meet the necessary security and auditing requirements.
Results Service employees detect, diagnose, and resolve problems faster, minimizing or even preventing equipment downtime. They can also more effectively collaborate with field service technicians to provide contextual guidance, improving first-time fix rates.
Data collected from connected devices is easily integrated into other existing business processes—such as parts planning and allocation or compliance reporting—which further enhances outcomes and reduces costs. Many manufacturers are also leveraging data to develop and deliver differentiated, value-add services, like automatic consumables replenishment and usage-based billing.