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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 Error Handling in Power Query
Error handling in Power Query for Power BI: step-level and cell-level errors and their common causes, what Remove, Replace and Keep errors do, try with otherwise and catch for custom logic, and a real example where changing one column's type would have turned 10% of the rows into errors that Remove errors deletes.
Calculation Groups in Power BI Explained
Calculation groups in Power BI explained: the measure explosion they solve, how SELECTEDMEASURE turns one expression into a calculation for every measure, a time intelligence group applied to two real measures, dynamic format strings, how precedence combines groups, and the limitations to check before adding one.
KPIs and Cards in Power BI: Designing Scorecards
Designing KPI cards and scorecards in Power BI: when to use the card visual, the KPI visual or scorecards in the Power BI service, why every headline number needs a comparison, measures for prior period, variance and status, a worked row of cards from Microsoft's Financial Sample, and layout rules for a scorecard page.
Building a Sales Dashboard in Power BI from Scratch
A Power BI sales dashboard built from scratch on the Chinook sample database: a star schema and date table, core DAX measures for revenue, orders, customers, order value and year-over-year change, the exact values each should return, a sales rep comparison that ranks differently by total and per customer, and a layout.
Composite Models and DirectQuery in Power BI
DirectQuery and composite models in Power BI, from Microsoft's guidance: why import is the default, the situations that justify DirectQuery, its limits from the one-million-row cap to query folding, how composite models combine import, DirectQuery and dual tables, and the security and performance traps of mixing.
Connecting Power BI to SQL Server: A Step-by-Step Guide
Connecting Power BI to SQL Server, step by step: preparing a reporting view, the connector's settings and advanced options, authentication and certificate errors, keeping Power Query steps folding back to SQL Server, native SQL statements, checking row counts, gateway refresh and troubleshooting.