Advanced Data Analysis and Integration with SystemLink Server Course Overview

This course teaches you how to use SystemLink Server for advanced data analysis with various tools including Jupyter Notebook, HTTP APIs, web interfaces, and JSON files. It also teaches you how to exchange data between SystemLink Server and other applications, and manage third-party assets.

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Available formats

On-Demand

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Virtual training not available for this course

Classroom training not available for this course

Private Classes not available for this course

Course Objectives

Customize Reports and Data Analysis with Jupyter Notebook
Leverage SystemLink Data Services with HTTP APIs
Exchange Data between SystemLink and Other Applications
Explore Analysis Automation in a Data Ingestion Pipeline
Ingest and Publish Files to Produce Reports
Leverage Web Interfaces and JSON Files to Manage Non-NI Assets with SystemLink
Leverage Python and HTTP API to Manage Non-NI Assets with SystemLink

Course Details

Duration

On-Demand: 4.5 hours

Audience

Advanced users who are managing deployed LabVIEW and TestStand systems using SystemLink Server
Advanced users who are managing third-party assets with SystemLink Server
Advanced users who are collecting and analyzing data sets from test results across multiple systems

Prerequisites

Using SystemLink Software to Manage Systems and Data
Familiarity with test systems and test results
Familiarity with Python, and basics of REST API

NI Products Used

If you take the course On-Demand:

SystemLink
LabVIEW and/or TestStand

Training Materials

On-demand training includes digital course materials delivered through the NI Learning Center, available for the access duration of your subscription

Cost in Credits

On-Demand: Included with software subscription and enterprise agreements, or 5 Education Services Credits, or 2 Training Credits

Advanced Data Analysis and Integration with SystemLink Server Course Outline

Lesson	Overview	Topics
Customizing Reports and Data Analysis with Jupyter Notebook	Use the functionality of Jupyter Notebook and customize it for various applications.	Getting Started with Jupyter Notebooks in SystemLink Capabilities of Jupyter Notebook Customizing Test and Asset Reports with Jupyter Notebook Sharing Jupyter Notebook Additional Python Modules
Leveraging SystemLink Data Services with HTTP APIs	Explore the SystemLink HTTP API and learn when to use them and how to access its documentation.	Exploring the HTTP API Exploring Swagger UI Using the HTTP API from G Web Development Software
Exchanging Data between SystemLink and Other Applications	Publish and query data from Python, .NET, and LabVIEW.	Leveraging APIs  Publishing Test Results with the Test Monitor API  Managing Files and Tags with Python  Uploading Test Results with .NET
Analysis Automation in a Data Ingestion Pipeline	Explore what is data ingestion pipeline and learn how to create analysis automation procedures.	What Is Data Ingestion Pipeline?
Ingesting and Publishing Files to Produce Reports	Explore how to ingest and publish files.	Ingesting Files  Publishing Files to SystemLink to Produce a PDF Report
Leveraging Web Interfaces and JSON File to Manage Non-NI Assets with SystemLink	Use SystemLink to keep track of various assets, from non-NI devices to cables and probes.	SystemLink Support for Non-NI Devices Manually Add Non-NI Assets to Asset Manager from Web Interfaces  Programmatically Add Non-NI Assets to Asset Manager Using a JSON File
Leveraging Python and HTTP API to Manage Non-NI Assets with SystemLink	Programmatically add non-NI assets to Asset Manager using Python and HTTP APIs.	Programmatically Add Non-NI Assets to Asset Manager from Python Programmatically Add Non-NI Assets to Asset Manager from the HTTP API

Continue Your Learning Path

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LabVIEW Core 1

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