DP-203T00: Data Engineering on Microsoft Azure
Data Engineering on Microsoft Azure
DP-203T00: Data Engineering on Microsoft Azure Certificate


- Gain proficiency in Azure Data Lake Storage Gen2 for large-scale data storage and analytics.
- Master querying and data transformation with Azure Synapse Analytics serverless SQL pools.
- Perform data engineering tasks using Azure Synapse Apache Spark Pools and Databricks.
- Learn to build, secure, and optimize data pipelines in Azure Synapse Analytics.
- Develop skills in hybrid transactional and analytical processing (HTAP) with Azure Synapse Link.

What to train your team? Get a quote
Fundamental Learnings
Training by Top Microsoft-Certified Trainers
1 Day of Live, Instructor-Led Sessions
Latest, Up-to-date Curriculum, Approved by Industry Experts
Access to a Digital Library of Learning Resources
Comprehensive Knowledge of Core Learnings
Blend of classroom sessions and hands-on training
Prerequisites for this Courese
Prerequisites and Eligibility
- Knowledge of Cloud Computing and Core Data Concepts: A foundational understanding of cloud services and data principles.
- Professional Experience with Data Solutions: Hands-on experience in working with data solutions, including data processing and storage.
- Completing the following certifications can help in meeting these prerequisites:
- AZ-900: Microsoft Azure Fundamentals: Covers basic cloud concepts and Azure services.
- DP-900: Microsoft Azure Data Fundamentals: Focuses on core data concepts and how they're implemented using Microsoft Azure data services.

Things Included in the course learning
Course Curriculum
Module 1: Get started with data engineering on Azure
Module 2: Build data analytics solutions using Azure Synapse Analytics serverless SQL pools
Module 3: Perform data engineering with Azure Synapse Apache Spark Pools
Module 4: Work with data warehouses using Azure Synapse Analytics
Module 5: Transfer and transform data with Azure Synapse Analytics Pipelines
Module 6: Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure Synapse Analytics
Module 7: Implement a data streaming solution with Azure Stream Analytics
Module 8: Govern data across an enterprise
Module09: Data engineering with Azure Databricks
Things Included in the course learning
Our Learners Love Us

Recently attended the Scrum Master course. The instructor demonstrated profound knowledge of Agile methodologies and Scrum in particular. Comprehensive course materials, including slides, workbooks, and supplementary readings, have become invaluable resources that I frequently reference in my daily role.

This is an amazing training ecosystem. They had assigned individual relationship managers who not only did the tactical things of reminding of sessions etc, but they also connected me with people who were experts for career guidance. This is the best example of customer delight - you not just engage clients but delight them! Highly recommended for Agile related courses.

I did a PSM-1course from One iTech and it was truly an enriching experience. The trainer was very good and has full expertise on the subject. He was quite interactive and engaging, always ensured everyone understood the concepts and fundamentals of Scrum Agile. He kept revising and recapping all important concepts throughout the session during these two days.

One iTech is very professional in handling entire process. They make sure all the support is provided during training and afterwards. I have done 2 courses with them and both times it was a great experience. The workshop was a well-organized event. The trainer was an expert which made it a valuable training.

What will I learn in this course
Output of this Course
- Understand the fundamentals of data engineering on Azure, including data storage, streams, and analytics.
- Gain proficiency in Azure Data Lake Storage Gen2 for large-scale data storage and analytics.
- Master querying and data transformation with Azure Synapse Analytics serverless SQL pools.
- Perform data engineering tasks using Azure Synapse Apache Spark Pools and Databricks.
- Learn to build, secure, and optimize data pipelines in Azure Synapse Analytics.
- Develop skills in hybrid transactional and analytical processing (HTAP) with Azure Synapse Link.
- Implement real-time analytics and stream processing solutions using Azure Stream Analytics and Event Hubs.
- Integrate Azure Databricks for complex data exploration and transformation tasks.
- Apply end-to-end security measures to protect data within Azure Synapse Analytics.
- Explore machine learning capabilities and Power BI integration for advanced analytics in Azure Synapse Analytics.
Who is this course for
- Data Engineers
- Data Architects
- Data Scientists
- Database Administrators
- IT Professionals with a focus on data solutions
- Business Intelligence Professionals
- Cloud Solution Architects
- Professionals seeking certification in Microsoft Azure Data Engineering
- Technical Team Leads managing data-centric projects
- Data Analysts aiming to upgrade their skills to include big data and real-time analytics
- Software Engineers looking to specialize in data engineering on Azure platforms
- DevOps Engineers working with data-intensive applications and analytics pipelines

No Post Found