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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Power BI vs Excel: When to Use Each Tool
A task-by-task guide to choosing between Power BI and Excel at work: the signs a workbook has outgrown Excel, what Excel still does better, the worksheet row limit tested on a real two-sheet retail dataset, and the ways the two tools work together, from Power Query to Analyze in Excel and connected tables.
Power BI Service: Publishing, Sharing and Workspaces
How the Power BI service works after publishing: workspaces and the four roles, the licences that decide who can share and view, choosing between apps, sharing links and workspace access, why sharing a report shares its whole semantic model, the danger of Publish to web, and how refresh, security and deployment fit in.
Power BI Tooltips: Adding Context to Visuals
How to use the three kinds of Power BI tooltip to add context without clutter: tooltip fields and aggregations, sentence-format templates, drill actions in the footer, report page tooltips built and assigned step by step, how line charts and cross-highlighting affect them, accessibility limits, and design tips.
Power BI Data Refresh: Scheduled and Incremental
Power BI data refresh explained: scheduled refresh limits and time-outs by capacity, gateways and connections, failure and inactivity notifications, incremental refresh with RangeStart and RangeEnd, how few rows it touches on real data, the boundary mistake that loaded 14,423 extra rows, and reliable refresh practices.
From Power BI Beginner to Developer: A Career Roadmap
Learning Power BI is one roadmap; building a career on it is another. This guide follows the roles, from report author to BI developer and analytics engineer, with what each one owns, what employers' official descriptions say the work involves, and where Microsoft's PL-300 and DP-600 certifications fit along the way.
Power BI Performance Tuning: Make Reports Faster
A method for making Power BI reports faster: measure first with Performance Analyzer and read its DAX query, visual display and other timings, then shrink the import model, reduce column cardinality on a real retail dataset, write lighter DAX, filter and simplify pages, and check capacity and gateways.