IT Career Guides & Free Resources
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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DAX Variables: Writing Cleaner, Faster Measures
DAX variables explained with real numbers: VAR and RETURN syntax and naming rules, how variables speed up and simplify measures, debugging by returning a variable, the rule that a variable is fixed where it is declared, shown producing a 100% share by mistake, and replacing EARLIER in a ranking column.
Power BI Paginated Reports vs Interactive Reports
Paginated and interactive Power BI reports compared: what each is built with, how they get data, why only paginated reports print every row of a long table, parameters versus cross-filtering, export formats and subscriptions, licensing, which jobs suit each, building a first paginated report, and the limitations.
Power BI Themes and Branding for Professional Reports
How to brand Power BI reports with themes: how the base theme, custom theme and visual formatting layer, why theme colors beat custom colors, series color order, the theme JSON file with colors, text classes, visual styles and presets, and a contrast check that finds weak colors before readers do.
Aggregations in Power BI for Large Datasets
Power BI aggregations for large datasets: how an in-memory aggregation table answers summary queries over a huge DirectQuery fact table, why the grouping grain decides whether it helps, shown on real data where one grain is 345 times smaller and another barely smaller, which queries hit, and automatic aggregations.
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.