etl

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    Dataverse vs SQL Server: A Context-Driven Backend Platform Framework

    Microsoft Digital’s Employee Productivity Engineering (EPE) team faced a deceptively simple-sounding question with outsized implications: should we build on Microsoft Dataverse — the low-code data platform native to the Power Platform — or rely on Microsoft SQL Server and its mature relational...
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    Master Power Query in Excel: Turn Messy CSVs into Repeatable Data Pipelines

    I had been ignoring Power Query for years, treating Excel like a calculator with a few handy formulas—until a messy, cross‑vendor CSV pile forced me to learn the tool everyone always brags about. What started as a tedious weekend of copy‑pasting and find‑and‑replace turned into a few well‑chosen...
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    Transform Data Integration with Metadata-Driven ETL Using Azure Data Factory

    Integrating diverse data sources into a single analytics-ready platform has become the defining challenge of the modern enterprise. Today, organizations must bridge a tangle of on-premises databases, cloud SaaS platforms, legacy file systems, and real-time feeds, often spanning continents and...
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    Striim & Microsoft Fabric: Revolutionizing Data Management with SQL2Fabric-Mirroring

    Welcome to the data playground of the future, where AI isn't just a buzzword but a symbiotic partner in helping organizations surf the tsunami of evolving operational data. Recently, Striim and Microsoft Fabric announced a powerful new way to reshape how businesses synchronize, analyze, and...
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    Azure Data Factory vs. SSIS: Choosing the Right ETL Tool for 2024

    In the ever-evolving landscape of data management, organizations are faced with an array of tools to orchestrate data workflows and enhance business intelligence. Two prominent players in data integration are Microsoft Azure Data Factory and SQL Server Integration Services (SSIS). While both are...
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