Structured Data and Machine Learning for Enhanced Data Center Management

What is Structured Data?

Data centers produce a wealth of detailed information in their day-to-day operations. Making the best use of this data will help operators run a tight ship. One of the ways data centers can make the best use of this data is by having it in a structured data format. Structured data is a data set that is stored in a manner that allows you to group, filter and correlate that data in different ways. An important aspect of structured data that maximizes its value is normalization of values and format. For time-series data − such as real-time collected values − the time markers should also be normalized (for example, GMT), not localized, so the time stamps are uniform. Data accuracy here is critical; obviously, well-structured but inaccurate data is not valuable, as it translates to inaccurate analysis. This large amount of data includes details from top level power distribution gear like utility transformers and MVS (Medium Voltage Switchgear), power distribution like PDUs, RPPs, UPSs, as well as resource utilization, and environmental factors such as temperatures of rooms and racks. For some deployment this data even includes servers or CPUs.

The Value of Structured Data

Structured data is highly useful for several reasons, and its advantages include:
  • Interoperability and ease of analysis
  • Ease of storage and retrieval
  • Data consistency
  • Data validation and integrity
  • Reporting and visualization
Let’s focus on interoperability and ease of analysis − well-structured, normalized data enables easier and more powerful processing and analysis of that data to identify patterns and spot trends.

DCIM Should Provide a Structured Data Set for Your Infrastructure

DCIM collects a significant amount of data, which by its nature should be stored in a well-structured format. This data is often used to analyze the infrastructure, historical events, and to drive real-time alarm notifications.  These requirements lead to a need for high quality of data, normalization, as well as accurate time stamping of the value.

DCIM Data is Ready-Made for Machine Learning

With a large data set, high accuracy, and time stamp tracking, the historical data in a DCIM is very well suited for a “tidy” data set essential for machine learning.  The historical data set can be used for model building and training − the basis of machine learning.  The larger the data set, the more accurate the models and results, thus the very large data set of a DCIM solution can produce high quality machine learning output.

Modius® OpenData® AI for anomaly detection

Modius has released its first phase of machine learning for OpenData AI– anomaly detection.  This module can create user defined models, with user selected devices, points, and time periods. OpenData AI can “self-train” from the historical data captured in OpenData. This allows the machine learning module to begin analyzing real-time almost immediately upon deployment. Anomaly detection can determine when real-time data does not align with the thousand or tens of thousands of past scenarios and determine when new conditions indicate a potential problem − well before a human could detect the same issue − and even before point values trigger manually defined alarms. In high uptime data center operations, machine learning brings awareness of potential issues before they become problematic, giving you an edge, and helping ensure optimal performance and protecting critical SLA agreements. OpenData AI also supports predictive and condition-based maintenance programs.

If you are looking for a next-generation DCIM solution that can help you better understand your data center’s status and opportunities efficiencies, consider Modius® OpenData®. OpenData provides integrated tools including machine learning capability to manage the assets and performance of colocation facilities, enterprise data centers, and critical infrastructure.

OpenData is a ready-to-deploy DCIM featuring an enterprise-class architecture that scales incredibly well. In addition, OpenData gives you real-time, normalized, actionable data accessible through a single sign-on and a single pane of glass.

We are passionate about helping clients run more profitable data centers and providing operators with the best possible view into a managed facility’s data. We have been delivering DCIM solutions since 2007. We are based in San Francisco and are proudly a Veteran Owned Small Business (VOSB Certified). You can reach us at or 1-(888) 323.0066.

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