Thursday, September 7, 2023

Microsoft Certified: Azure Data Engineer Associate

The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.
Azure Data Engineer Certification
DP-203
Intermediate

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

Official
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.

Intermediate
Specialization
Intermediate
Specialization

DP-203 - Data Engineering on Microsoft Azure Certification

Add-on
DP-203 - Data Engineering on Microsoft Azure Certification

This course helps with learning design, development, monitoring, and optimization of data processing and storage.

Intermediate
Practice
Intermediate
Practice

Microsoft Exam DP-203 Data Engineering on Microsoft Azure

Good
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.

Intermediate
Learning Path
Intermediate
Learning Path

DP-203: Data Engineering on Microsoft Azure - 2022

Updated
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.

Intermediate
Course
Intermediate
Course

Data Engineering with Microsoft Azure

High-ROI
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.

Intermediate
Nanodegree
Intermediate
Nanodegree

Microsoft Azure Databricks for Data Engineering

Underrated
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.

Intermediate
Course
Intermediate
Course
Azure Data Engineer Certification

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.

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