Prep for Azure Data Engineer DP-203 Certification
Master Azure data engineering and prepare for Microsoft's DP-203 certification exam with comprehensive training in data processing and analytics.
Course Cost
₹ 2,699
Intermediate
Skill Level
2 Hours
Self-paced lessons
This comprehensive course prepares IT professionals for the Microsoft DP-203: Data Engineering on Azure certification exam. Designed for intermediate-level learners, the program covers essential aspects of Azure data engineering, including Azure Databricks, Apache Spark, and Azure Synapse pipelines. Students learn to design, implement, and optimize data storage solutions while mastering data ingestion, transformation, and processing techniques. The course emphasizes hands-on experience with Azure tools and services, preparing candidates for real-world data engineering challenges. Through practical assignments and detailed modules, learners develop expertise in data pipeline operationalization, storage optimization, and platform monitoring.
What you'll learn
Explain how to design data for analysis using Azure Databricks, Apache Spark, and Azure Synapse pipelines
Describe how to ingest, clean, and transform data using Azure Synapse
Identify data processing solutions using Azure Databricks and manage pipelines in Azure Synapse pipelines
Discuss the steps to secure, optimize, and monitor data storage using Azure Synapse Analytics
Skills you'll gain
This course includes:
102 Minutes PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This comprehensive course prepares learners for the Microsoft DP-203 Data Engineering on Azure certification exam. The curriculum covers essential aspects of Azure data engineering, including the design and implementation of data storage solutions, data processing techniques, and optimization strategies. Students learn to work with key Azure tools such as Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage Gen2. The course focuses on practical skills in data partitioning, pipeline management, security implementation, and performance optimization. Through hands-on assignments and detailed modules, learners develop expertise in data transformation, batch and stream processing, and monitoring data storage systems.
Designing and implementing data storage and data exploration layer
Module 1 · 52 Minutes to complete
Developing data processing
Module 2 · 1 Hours to complete
Securing, monitoring, and optimizing data storage and data processing
Module 3 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.





