DAX Basics for Data Engineers
Azure Cloud Data Engineering Training in Hyderabad – Quality Thoughts
Quality Thoughts offers one of the best Azure Cloud Data Engineering courses in Hyderabad, ideal for graduates, postgraduates, working professionals, or career switchers. The course combines hands-on learning with an internship to make you job-ready in a short time.
Our expert-led training goes beyond theory, with real-time projects guided by certified cloud professionals. Even if you’re from a non-IT background, our structured approach helps you smoothly transition into cloud roles.
The course includes labs, projects, mock interviews, and resume building to enhance placement success.
Why Choose Us?
1. Live Instructor-Led Training
2. Real-Time Internship Projects
3.Resume & Interview Prep
4 .Placement Assistance
5.Career Transition Support
Join us to unlock careers in cloud data engineering. Our alumni work at top companies like TCS, Infosys, Deloitte, Accenture, and Capgemini.
Note: Azure Table and Queue Storage support NoSQL and message handling for scalable cloud apps
DAX Basics for Data Engineers
DAX (Data Analysis Expressions) is the formula language used in Power BI, Analysis Services, and Power Pivot to create custom calculations and aggregations on data. For data engineers, understanding DAX is essential to transform raw data into meaningful metrics. DAX works with tables and columns rather than individual cells, making it ideal for large datasets. Key concepts include calculated columns (stored in the model), measures (calculated on the fly), and calculated tables. Common DAX functions include aggregation functions like SUM(), AVERAGE(), COUNTROWS(), and time intelligence functions such as SAMEPERIODLASTYEAR(), DATEADD(), and TOTALYTD(). Filter functions like CALCULATE() and FILTER() are central to modifying evaluation context. Understanding row context vs. filter context is critical for accurate results. DAX can perform advanced analytics, ranking, and KPI calculations while maintaining performance through optimized queries. For data engineers, mastering DAX bridges the gap between raw data modeling and business-friendly insights, ensuring accurate and dynamic reporting in Power BI.
Read More
Visit Our Website
Comments
Post a Comment