Business Intelligence

Databricks Lakebase: Unlock Operational Data for AI and Analytics

What Is “Lakebase” and Why It Matters Now The evolution of enterprise data platforms has moved from traditional data warehouses to data lakes, and more recently to the lakehouse model. Platforms like Databricks have helped drive this shift by combining scalable cloud storage with open data management technologies such as Delta Lake, enabling analytics, machine learning, and […]

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Unlock Industrial Time Series Analytics Using Open-Source InfluxDB

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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From Excel to Dataverse: A Powerful Data Transformation

An engineering consulting firm needed to upgrade wiring and monitoring systems across three U.S. gas plants. Right away, they hit a major roadblock: all input/output (IO) data lived in one massive, clunky Excel spreadsheet. It was stored on a shared drive and passed between engineers, managers, and site staff. At MetaFactor, we are Calgary Power

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Conquer Data Cube Chaos – How to Power Ahead with Smarter BI

The Future of Online Analytical Processing In the fast-changing world of data analytics, businesses must manage and analyze vast amounts of data efficiently. Traditionally, tools like SQL Server Analysis Services (SSAS), IBM Cognos, and other data cube-based solutions have been central to Business Intelligence (BI). However, as data grows and analysis becomes more complex, these

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