Microsoft Certified: Azure Data Engineer Associate
Azure data engineers utilize various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis.
Microsoft Azure Data Engineering Associate Professional Certificate

This program offers 10 courses designed to prepare you for the Data Engineering on Microsoft Azure exam, covering all essential concepts and skills.
DP-203 - Data Engineering on Microsoft Azure Certification
This course helps with learning design, development, monitoring, and optimization of data processing and storage.
Microsoft Exam DP-203 Data Engineering on Microsoft Azure

This learning path teaches you how Azure services collaborate to design, implement, operationalize, monitor, optimize, and secure data solutions on Microsoft Azure.
DP-203: Data Engineering on Microsoft Azure - 2022

This course helps you develop the necessary skills for implementation and configuration, teaching you how to create, manage, use, and configure data services in the Azure portal.
Data Engineering with Microsoft Azure

You will acquire the skills to design data models, create data pipelines, and navigate large datasets on the Azure platform. Additionally, you will learn to build data warehouses, data lakes, and lakehouse architecture.
Microsoft Azure Databricks for Data Engineering

This specialization is designed for data engineers and developers who want to showcase their skills in implementing data solutions using Microsoft Azure data services and prepare for the exam.

Azure Data Engineer Certification — Associate
The skills assessed in this certification program involve designing and implementing data storage, developing data processing, and securing, monitoring, and optimizing both data storage and data processing workflows.
This program ensures that Data Engineers are capable of designing data stores with different architectural patterns based on business requirements, such as modern data warehouse (MDW), big data, or lakehouse architecture. They are also equipped with the skills to operationalize data pipelines and data stores to be high-performing, efficient, organized, and reliable, given a predetermined set of business requirements and constraints.
Proficiency in using Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks is essential for creating data processing solutions. Earning this certification demonstrates professionals' proficiency in Azure data engineering and enhances their career prospects in the field.
Is it right for you?
Azure data engineers help identify and troubleshoot operational and data quality issues. They also design, implement, monitor, and optimize data platforms to meet the data pipelines. To succeed in this role, candidates must have a solid understanding of data processing languages, including SQL, Python, and Scala, and must be familiar with parallel processing and data architecture patterns.
Azure-certified data engineers play a crucial role in building analytics solutions by helping stakeholders understand the data through exploration and maintaining secure and compliant data processing pipelines using a diverse set of tools and techniques.
Disclaimer
The content displayed on this website is for informational and promotional purposes only. We have made every effort to use these materials in accordance with media kits and legal guidelines. We may receive a commission for any purchases made through our website.
Please note that we are not affiliated with, endorsed by, or sponsored by any of the companies whose logos and other materials appear on our website, unless expressly specified otherwise. All trademarks, logos, and other intellectual property belong to their respective owners.
If you are a copyright owner or an agent thereof and believe that any content on our website infringes upon your copyrights, you may submit a DMCA takedown request to have the content removed. Please provide us with the necessary information to process your request, and we will take appropriate action in accordance with applicable laws.
By using our website, you acknowledge and agree to this disclaimer and assume full responsibility for your use of the information provided.