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Unlock Industrial Time Series Analytics Using Open-Source InfluxDB

Business Intelligence, Historians, Visualization /

Time-Series Data in Industrial Operations  Industrial operations generate large volumes of time-stamped data from PLCs, DCS, SCADA systems, and edge devices. Measurements such as pressure, temperature, flow, and equipment states are captured continuously across assets and processes, creating high-frequency data streams that require specialized storage and fast time-based access.  When organizations modernize their OT data […]

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Unlock Actionable Industrial Intelligence with the AVEVA PI System

Historians /

Overview of the AVEVA PI System We are Calgary OSIsoft PI Experts and Calgary OSIsoft AF Experts. The AVEVA PI System is the industry’s leading enterprise solution for collecting real-time data. It enables organizations to aggregate vast amounts of time-series data and transform it into actionable insights, supporting real-time monitoring and predictive analysis. The PI

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Accelerating Breakthrough Performance with Digital Twins in Greenfield Environments

Analytics /

Why Greenfield Industrial Sites Are the Ideal Starting Point for Digital Twins We are Calgary OSIsoft PI Experts A greenfield industrial project refers to the development of a new facility built from the ground up on an undeveloped site, with no existing infrastructure or systems. This includes new oil processing facilities, wind farms, and solar plants. We

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Proven Strategies to Integrate AVEVA Historian with AVEVA PI

Historians /

Overview of AVEVA Historian  AVEVA Historian is a long-standing industrial time-series database designed to capture, compress, and store real-time plant data while responding efficiently to SQL queries. Originally launched under the Wonderware brand, it has evolved into a robust platform commonly used across manufacturing, energy, water, and infrastructure operations.  The historian’s connector suite enables direct polling from

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MetaFactor’s Manual Data Entry App: One Powerful and Intuitive Tool

Visualization /

Overview In the evolving landscape of industrial operations, the ability to capture accurate, timely data remains a cornerstone of operational excellence, especially when it comes to assets and systems that rely on consistent monitoring. While automated data collection from sensors and IoT devices has become the norm, manual data entry still plays a critical role

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Automate and Enforce Data Quality with Delta Live Tables

Analytics, Visualization /

Introduction: The Evolution of Data Pipelines Data pipelines are essential to modern analytics and digital operations across industries, from financial services to healthcare. In the oil and gas industry, data pipelines are particularly valuable because they power seismic data interpretation, real-time IoT sensor monitoring from rigs and pipelines, and regulatory reporting on emissions and sustainability.

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Transforming Wind Farms: How AI and Data Analytics Unlock Efficiency

Analytics, Visualization /

Introduction Modern wind farms face complex operational challenges, dynamic weather conditions, variable wind patterns, and the wear and tear of turbine components. To manage this complexity, AI and data analytics offer powerful tools: they can analyze sensor and geospatial data in real time, predict equipment failures before they happen, and suggest optimum turbine configurations for

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Databricks Lakehouse: A Powerful Framework for Modern Data and Analytics

Analytics /

Introduction For years, businesses had to choose between the flexibility of a data lake and the performance of a data warehouse. The Lakehouse architecture, pioneered by Databricks, combines the best of both worlds by offering one platform for all your data, analytics, and AI needs. At MetaFactor, our Calgary Data Engineer Experts help organizations adopt

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Apache Airflow & dbt: Proven Strategy From Orchestration to Transformation

Analytics, Historians /

Introduction Modern data teams face a common challenge: how to manage growing volumes of data while ensuring it is reliable, timely, and ready for analytics. Traditional pipelines often break under the pressure of multiple data sources, complex dependencies, and the need for continuous validation. Without the right tools, analysts are left chasing broken SQL scripts,

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