Azure Data Engineering Course
Become proficient in Azure Data Engineering with our detailed course tailored for Indian tech professionals. Delve into data processing methods using Azure Synapse and Databricks, optimising workflows, and transforming data effectively. Explore reliable storage solutions like Azure Data Lake and Blob Storage, and learn how to select the best options for your specific requirements. Gain insights into various Azure services, data ingestion strategies, and pipeline implementation, ensuring scalability and good performance. Sharpen your skills in testing, optimisation, and querying with Azure Synapse for effective data access and analytics integration.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Become proficient in Azure Data Engineering with our detailed course tailored for Indian tech professionals. Delve into data processing methods using Azure Synapse and Databricks, optimising workflows, and transforming data effectively. Explore reliable storage solutions like Azure Data Lake and Blob Storage, and learn how to select the best options for your specific requirements. Gain insights into various Azure services, data ingestion strategies, and pipeline implementation, ensuring scalability and good performance. Sharpen your skills in testing, optimisation, and querying with Azure Synapse for effective data access and analytics integration.
Elevify advantages
Develop skills
- Master Azure Synapse: Improve your data processing and analytics skills.
- Optimise Workflows: Simplify data processing to enhance efficiency and speed.
- Transform Data: Use Azure Databricks for successful data transformation.
- Choose Storage: Pick the best Azure storage solutions based on different needs.
- Implement Pipelines: Set up data pipelines that are scalable and perform well.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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