Learn to design, build, and optimize secure data pipelines and analytics solutions on Azure using modern data engineering tools and services.
Learn to design, build, and optimize secure data pipelines and analytics solutions on Azure using modern data engineering tools and services.
Level
Advanced
Duration
8 weeks
Trusted by Leading Organizations
The DP-203: Azure Data Engineer Associate course is designed to build strong, job-ready skills in designing and implementing modern data engineering solutions on Microsoft Azure. This course focuses on how data engineers ingest, transform, secure, and optimize data for analytics and business intelligence workloads. Learners gain hands-on exposure to core Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Stream Analytics, and Azure Databricks. The curriculum emphasizes both batch and real-time data processing, data modeling, performance tuning, and data governance using enterprise-grade security and monitoring practices. Real-world scenarios are used to demonstrate how data pipelines are built, automated, and maintained at scale. Special attention is given to data transformation using SQL, Spark, and ELT patterns, along with monitoring and troubleshooting production data solutions. Delivered through Jast Tech, this course prepares learners to confidently clear the DP-203 certification exam while equipping them with practical skills required for Azure Data Engineer roles in enterprise environments.
The DP-203: Azure Data Engineer Associate course is designed to build strong, job-ready skills in designing and implementing modern data engineering solutions on Microsoft Azure. This course focuses on how data engineers ingest, transform, secure, and optimize data for analytics and business intelligence workloads. Learners gain hands-on exposure to core Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Stream Analytics, and Azure Databricks. The curriculum emphasizes both batch and real-time data processing, data modeling, performance tuning, and data governance using enterprise-grade security and monitoring practices. Real-world scenarios are used to demonstrate how data pipelines are built, automated, and maintained at scale. Special attention is given to data transformation using SQL, Spark, and ELT patterns, along with monitoring and troubleshooting production data solutions. Delivered through Jast Tech, this course prepares learners to confidently clear the DP-203 certification exam while equipping them with practical skills required for Azure Data Engineer roles in enterprise environments.
Job Roles You Can Achieve
After completing this course
- Solutions Architect
- Technical Consultant
- Implementation Specialist
- System Administrator
- IT Professional
DP-203: Azure Data Engineer Associate Curriculum
Azure Data Engineering Fundamentals
Introduces core data engineering concepts and how Azure services fit into analytics architectures.
Designing Data Storage Solutions
Covers scalable and cost-effective storage design for structured and unstructured data.
Ingesting Data Using Azure Data Factory
Focuses on building reliable batch data ingestion pipelines.
Real-Time Data Processing
Explains how to process and analyze streaming data in near real time.
Data Transformation with Azure Databricks
Demonstrates large-scale data transformation using distributed processing.
Related Courses
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- Module quizzes
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- 3 live industry projects
- Portfolio building
- Case studies
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- 1:1 doubt sessions
- Peer collaboration
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- Practice dumps
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- Mock interviews
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Enterprise Sales Data Analytics Platform
Real-Time IoT Streaming Analytics System
Financial Reporting Data Warehouse Solution
Available Course Schedules
Select a schedule that works best for you
Starts
23 May 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
25 May 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
30 May 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
01 Jun 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
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Certification Details
DP-203: Azure Data Engineer Associate – Associate
- Exam Name
DP-203: Azure Data Engineer Associate – Associate
- Exam Code
SAA-C03
- Duration
130 minutes
- Format
Multiple Choice & Multi-Response
- Passing Score
720 (Scale: 100–1000)
- Level
Associate
Prepare
Top Interview Questions
Curated questions with expert answers to help you ace your next interview.
Q1. What is the role of Azure Data Factory?
Azure Data Factory is used to ingest, orchestrate, and automate data movement and transformation across multiple data sources.
Q2. Difference between Azure Synapse dedicated and serverless SQL pools?
Dedicated SQL pools provide reserved resources for predictable performance, while serverless pools enable on-demand querying without infrastructure management.
Q3. When should Azure Databricks be used?
Databricks is used for large-scale data transformation, advanced analytics, and distributed processing using Apache Spark.
Q4. How is data secured in Azure analytics solutions?
Using RBAC, managed identities, encryption at rest and in transit, and data masking.
Q5. What is ELT and why is it preferred in Azure?
ELT loads raw data first and transforms it later using scalable compute like Synapse or Databricks, improving performance and flexibility.
Support
Frequently Asked FAQs
Can't find what you're looking for? Reach out to our support team anytime.
Q1. Who should take the DP-203 course?
This course is ideal for data engineers, BI professionals, and developers working with Azure data services.
Q2. Are coding skills required?
Basic SQL is required; familiarity with Python or Spark is helpful but not mandatory.
Q3. Does this course prepare for certification?
Yes, it fully aligns with Microsoft’s DP-203 exam objectives.
Q4. Is hands-on practice included?
Yes, the course emphasizes practical labs and real-world scenarios.
Q5. What job roles does this course support?
Azure Data Engineer, Analytics Engineer, and Cloud Data Engineer roles.
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Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
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