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Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Power BI Mobile: Designing Reports for Phones
How to design Power BI report pages for phones: when mobile-optimised views appear and when they do not, building a layout in the mobile layout editor or with auto-create, choosing and ordering the few visuals that matter on a small screen, formatting for touch, publishing, and testing in the Power BI mobile apps.
Handling Many-to-Many Relationships in Power BI
Many-to-many relationships in Power BI, with Microsoft's guidance and a real bridge table: why every row can show the grand total, which relationship needs to filter both ways, why the rows then add up to far more than the total, duplicate names in dimensions, relating fact tables, and targets at a higher grain.
Power BI vs Tableau: A Detailed 2026 Comparison
A detailed comparison of Power BI and Tableau for teams and analysts: a concept-by-concept translation table, authoring and platforms, data preparation, import versus extract, DAX measures versus LOD expressions and how filters treat them, row-level security, sharing, licence types and a worked cost example.
Power BI Slicers: Sync, Hierarchies and Best Practices
A practical guide to Power BI slicers: which slicer type suits which filter, slicers versus the Filters pane, syncing slicers across pages and in groups, hierarchy slicers and ragged hierarchies, why Select all stores an is-not filter, shown on real data after a refresh, edit interactions, and Apply all buttons.
Building a Finance Dashboard in Power BI
A Power BI finance dashboard built on Microsoft's Financial Sample workbook: two data traps to fix on import, core measures for sales, profit, margin and discount rate, reconciling totals before any visual, a profit bridge, a segment that loses money, what discounts do to margin, and a layout for finance users.
Power BI Deployment Pipelines for Teams
How Power BI teams use deployment pipelines: stages and capacity requirements, which items can be deployed, item pairing and the duplicates it can create, deployment rules that point each stage at the right data, why data needs refreshing after deployment, and a team workflow.