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Data Logging Overview

Empower your decision-making with JEDI's built-in data logging capabilities. Seamlessly store historical data, enabling trend analysis, troubleshooting, and identifying patterns without complex database setups.

What is Data Logging?

Data logging is the process of systematically recording sensor readings and device metrics over time. In the context of Machinechat JEDI, this means:

  • No Pre-Configuration Headaches: Start capturing data without the need to set up external databases or time-series infrastructure.
  • Essential for Analysis: Logged data unlocks historical visualizations, pattern detection, and root cause analysis within JEDI's dashboards.
  • Flexibility: Easily export JEDI's open CSV-based data into spreadsheets, analytics platforms, or custom tools for further processing.
  • Vendor Lock-In? Not Here: Maintain full ownership and control of your IoT data.

How JEDI Stores Your Data

JEDI employs a streamlined file-based approach to data organization:

  • Metrics as Folders: Each metric you've configured for data logging in JEDI corresponds to a data folder on your system.
  • CSV Files: Data is stored in hourly increments within CSV files, ensuring easy readability and compatibility.
  • Location: Data folders are stored within your JEDI installation directory. You can change the location if desired.

Managing Your Logged Data

JEDI's "Data Storage" section provides intuitive controls for managing your logged data:

  • Choose What to Log: Selectively enable the specific metrics you wish to store historically.
  • Retention Policies: Set data retention periods (in days) for each metric, optimizing storage and aligning with your analysis needs.
  • [Include a screenshot of the Data Storage management interface]

Data Logging Benefits

  • Trendspotting: Uncover patterns and trends that are only visible over extended periods.
  • Troubleshooting: Diagnose past issues, even if they were intermittent.
  • Optimization: Identify areas for improving efficiency and resource usage.
  • Predictive Insights: Potentially lay the foundation for predictive maintenance or anomaly detection (when combined with advanced analysis techniques).

Ready to Dive Deeper?

  • Learn about JEDI's data organization: Explore how data is stored on disk to understand its structure. Data Organization
  • Master Data Storage management: How to optimize your logging configuration. Data Management

Have a question? Contact our support team support@machinechat.io