DP-203: Data Engineering on Microsoft Azure [203T00-A] (EN)
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What is DP-203: Data Engineering on Microsoft Azure [203T00-A]
This training offers a deep dive into data engineering patterns and practices on Azure. It covers core compute and storage technologies, design of analytical serving layers, and data engineering considerations. Students will learn to interactively explore data in a data lake, ingest data using Apache Spark in Azure Synapse Analytics or Azure Databricks, and transform data using the same technologies. The training also covers how to monitor and optimize the performance of analytical systems, implement security measures, and use data in an analytical system to create dashboards or build predictive models in Azure Synapse Analytics. This training uses Microsoft Official Courseware and is delivered by an experienced Microsoft Certified Trainer.
This training seamlessly blends theoretical concepts with practical applications, thanks to the expertise of our trainers. Their real-world insights and best practices enrich your learning journey, equipping you with the skills to tackle real-world challenges.
Who should attend DP-203: Data Engineering on Microsoft Azure [203T00-A]
- Data Engineers: Learn to build and maintain data structures and architectures.
- Data Scientists: Understand how to manipulate large data sets and use them to validate and optimize business strategies.
- IT Professionals: Gain insights into the latest Azure data platform technologies.
- Business Analysts: Learn to make data-driven decisions using comprehensive data models.
- Database Administrators: Understand how to manage and optimize databases on Azure.
Prerequisites
Basic understanding of Azure services and data engineering concepts is recommended.
Objectives
At the end of the training you will be able to:
- Explore compute and storage options for data engineering workloads in Azure
- Design and Implement the serving layer
- Understand data engineering considerations
- Run interactive queries using serverless SQL pools
- Explore, transform, and load data into the Data Warehouse using Apache Spark
- Perform data Exploration and Transformation in Azure Databricks
- Ingest and load Data into the Data Warehouse
- Transform Data with Azure Data Factory or Azure Synapse Pipelines
- Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
- Optimize Query Performance with Dedicated SQL Pools in Azure Synapse
- Analyze and Optimize Data Warehouse Storage
- Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
- Perform end-to-end security with Azure Synapse Analytics
- Perform real-time Stream Processing with Stream Analytics
- Create a Stream Processing Solution with Event Hubs and Azure Databricks
- Build reports using Power BI integration with Azure Synapse Analytics
- Perform Integrated Machine Learning Processes in Azure Synapse Analytics
Exam information
Exam Information:
- Exam duration (minutes): 120
- % extra time for non-native speakers: –
- Number of exam questions: 40-60
- Minimum correct questions: Variable
- Exam style: Multiple choice
- Open book: No
Exam guarantee:
We have full confidence in the quality of our training. Therefore, if you take this training in our open schedule, we offer an exam guarantee. This means that you can retake the training for free, and you’ll receive a complimentary exam voucher if you don’t pass the exam on your first attempt.
The following conditions apply:
- You attended the entire training.
- You took the first exam within 2 months after the training.
- There is a maximum of 1 year between your initial training and the free training.
e-CF competences with this course
- A.5. Architecture Design
- A.6. Application Design
- B.2. Component Integration
- B.6. ICT System Engineering
Classroom, online, blended and in-company
At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.
In-company training courses
With an in-company training you have several advantages:
- You choose the location.
- You train with your colleagues, ensuring it aligns with your practice.
- The trainer tailors explanations, examples and assignments to your organization.
- In consultation, exercises can be adapted to organization-specific questions.
Request more information or a quote.
