Direct Query vs Import

 

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

Direct Query vs Import

Direct Query vs Import are two data connectivity modes in tools like Power BI that determine how data is accessed and refreshed.

Import Mode loads data from the source into Power BI’s in-memory storage (VertiPaq). This makes reports faster because queries run on the local cached data. It supports advanced transformations, complex calculations, and offline access. However, imported data is static until refreshed (scheduled or manual), so it may not show real-time changes. Best for smaller to medium datasets that don’t require live updates.

DirectQuery Mode does not store data in Power BI. Instead, each interaction sends a query to the data source, retrieving only the necessary results in real time. This is useful for large datasets or when up-to-date information is critical. However, performance depends on the source system speed and network, and some features like complex transformations or DAX functions may be limited.

In short:

Import = Faster performance, offline, periodic refresh.

DirectQuery = Real-time data, but may be slower with limited transformations.

Choosing depends on dataset size, freshness needs, and performance requirements.

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