In this podcast, we dive deep into the battle between two data powerhouses: Microsoft Fabric and Google BigQuery. We'll break down the key differences in architecture, pricing, integration capabilities, and performance to help you determine which platform aligns best with your organization's data strategy.

Whether you're already invested in the Microsoft ecosystem or considering Google's cloud-native approach, this episode provides practical insights and real-world considerations to guide your decision. 

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In this podcast, we talk about how teams can move their data and analytics workloads from Azure to Microsoft Fabric without stress. The discussion covers why companies are making this shift, what changes to expect, and how to plan each step the right way. We also touch on common risks, data readiness, and tips to keep reporting and analytics running smoothly during the move.

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In this episode, we dive into the Crystal Reports end-of-life crisis that's forcing thousands of organizations to rethink their reporting strategy. We explore why SAP is pulling the plug on this legacy tool, what it means for businesses still dependent on Crystal Reports, and how Power BI has emerged as the clear migration path forward.

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In this episode, we break down the full SSRS to Power BI move for enterprises, covering why teams are moving away from legacy reports, how to plan the shift step by step, key design and governance points, licensing and cost views, and what to fix early to avoid reporting issues in 2026.

A must-listen for BI leaders, IT teams, and decision makers planning a modern reporting setup.

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In this episode, we break down what data governance really means when big companies move data from one system to another. You’ll hear why having clear rules, data checks, and ownership matters so much in large migrations, and how strong governance helps keep data accurate, safe, and compliant from start to finish.

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In this episode, we break down the complete Databricks-to-Microsoft Fabric migration process, covering why enterprises are switching, step-by-step planning strategies, cost analysis, technical considerations, and how to avoid common migration pitfalls.

Essential listening for data leaders and IT teams planning their platform transition.

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In this episode, we break down the key types of data migration every enterprise must know in 2026. From cloud and database moves to application and process shifts, we explain when to use each type, what to avoid, and how to plan with less risk and cost. Built for leaders and data teams working with large systems and tight timelines.

In this episode, we break down why many pharma teams are moving from Crystal Reports to Power BI. We walk through the main gains, the pain points with older tools, and how a modern setup helps teams work faster with more trust in their data.

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In this episode, we talk about the key AI trends expected in 2026. We look at how AI may shape work, tools, and daily life. We also touch on growth in smart apps, safer data use, and new ways teams may use AI in their tasks. Tune in to get a clear, easy look at what the next year may bring.

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In this episode, we walk through the top 10 data observability tools that help teams spot issues early, keep pipelines steady, and improve data quality.

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