Linked Services and Datasets

 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

Linked Services and Datasets

 In Azure Data Factory and Synapse Pipelines, Linked Services and Datasets are essential components used to connect and manage data integration workflows.

Linked Services act like connection strings. They define the connection details to data sources or destinations—such as Azure Blob Storage, SQL Server, Azure Data Lake, REST APIs, or third-party platforms like Salesforce or Amazon S3. Think of them as bridges between your pipeline and the external systems. Each Linked Service includes authentication details (keys, connection strings, etc.) and properties required to establish the connection.

Datasets, on the other hand, define the schema and structure of the data that’s being used in your pipeline. A Dataset points to a specific file, folder, table, or collection within a data store defined by a Linked Service. For example, a dataset might represent a CSV file in Azure Blob Storage or a table in SQL Server.

Together, Linked Services and Datasets allow Data Factory to read from and write to various data sources as part of ETL/ELT pipelines. You can reuse Linked Services across multiple datasets and activities, promoting modularity and security. Proper configuration of these components ensures efficient and secure data movement across cloud and on-premises environments.

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