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DP-203
Data Engineering on Microsoft Azure - Practice Exam
Brian Roehm
Brian Roehm
The recommended order of courses to prepare for the DP-203: Data Engineering on Microsoft Azure certification is as follows: * Building an Azure Data Engineer Foundation * Data Ingestion and Preparation * Processing in Azure Using Batch Solutions * Processing in Azure Using Streaming Solutions * Secure, Monitor, and Optimize Data Storage and Processing Finally, use the practice exams to test your understanding for the exam found herein.
Register for this course and see more details by visiting:
OpenCourser.com/course/52vkxw/dp
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Teaches skills and knowledge relevant to the DP-203: Data Engineering on Microsoft Azure certification
Introduces a sequence of courses to prepare for the exam, which shows that the certification is attainable
Has a clear course order and explicit connection to certification exam, which can help learners make a plan and track their progress
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DP-203: Data Engineering on Microsoft Azure - Practice Exam.
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Career center
Learners who complete DP-203: Data Engineering on Microsoft Azure - Practice Exam will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains architectures that support complex data pipelines to create data products and insights. This course helps build a foundation in Azure data services that a Data Engineer would use to build pipelines and solutions. Course topics like data ingestion and processing, as well as data storage and optimization, are especially relevant to this role.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases, ensuring their availability and performance. The course topics cover securing, monitoring, and optimizing data storage and processing in Azure. This deep dive into Azure data services can help a Database Administrator excel in managing Azure-based data systems.
Data Analyst
Data Analyst
A Data Analyst cleans, transforms, and analyzes data to identify trends and patterns. This course helps build a foundation in Azure data services that a Data Analyst would use to prepare and process data for analysis. Course topics like data ingestion and preparation, as well as processing in Azure using batch solutions, are especially relevant to this role.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, builds, and deploys machine learning models. This course helps build a foundation in Azure data services that a Machine Learning Engineer would use to prepare and process data for machine learning. Course topics like data ingestion and preparation, as well as processing in Azure using batch and streaming solutions, are especially relevant to this role.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods and algorithms to extract insights from data. This course helps build a foundation in Azure data services that a Data Scientist would use to prepare, process, and analyze data. Course topics like data ingestion and preparation, as well as processing in Azure using batch and streaming solutions, are especially relevant to this role.
Data Architect
Data Architect
A Data Architect designs and manages the architecture of data systems. This course helps build a foundation in Azure data services that a Data Architect would use to design and build data pipelines and solutions. Course topics like data ingestion and processing, as well as data storage and optimization, are especially relevant to this role.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to improve business decisions. This course helps build a foundation in Azure data services that a Business Intelligence Analyst would use to prepare and analyze data to identify insights. Course topics like data ingestion and preparation, as well as processing in Azure using batch and streaming solutions, are especially relevant to this role.
Cloud Architect
Cloud Architect
A Cloud Architect designs and manages cloud computing solutions. This course may be useful for a Cloud Architect who wants to specialize in building data-driven solutions on Azure. Course topics like data ingestion and preparation, as well as processing in Azure using batch and streaming solutions, may be relevant to this role.
Software Engineer
Software Engineer
A Software Engineer designs, builds, and maintains software applications. This course may be useful for a Software Engineer who wants to specialize in building data-driven applications on Azure. Course topics like data ingestion and preparation, as well as processing in Azure using batch and streaming solutions, may be relevant to this role.
Data Integration Specialist
Data Integration Specialist
A Data Integration Specialist integrates data from multiple sources to create a unified view of data. This course helps build a foundation in Azure data services that a Data Integration Specialist would use to integrate and prepare data for analysis. Course topics like data ingestion and preparation, as well as processing in Azure using batch and streaming solutions, are especially relevant to this role.
Database Developer
Database Developer
A Database Developer designs and develops database systems. This course may be useful for a Database Developer who wants to specialize in developing database systems on Azure. Course topics like securing, monitoring, and optimizing data storage and processing may be relevant to this role.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and implements policies and procedures to ensure the integrity and security of data. This course may be useful for a Data Governance Analyst who wants to specialize in data governance on Azure. Course topics like securing, monitoring, and optimizing data storage and processing may be relevant to this role.
Data Visualization Analyst
Data Visualization Analyst
A Data Visualization Analyst creates visual representations of data to communicate insights. This course may be useful for a Data Visualization Analyst who wants to specialize in visualizing data on Azure. Course topics like data ingestion and preparation, as well as processing in Azure using batch and streaming solutions, may be relevant to this role.
Data Quality Engineer
Data Quality Engineer
A Data Quality Engineer ensures the quality of data. This course may be useful for a Data Quality Engineer who wants to specialize in data quality on Azure. Course topics like securing, monitoring, and optimizing data storage and processing may be relevant to this role.
Data Warehouse Engineer
Data Warehouse Engineer
A Data Warehouse Engineer designs and manages data warehouses. This course may be useful for a Data Warehouse Engineer who wants to specialize in building data warehouses on Azure. Course topics like data ingestion and preparation, as well as processing in Azure using batch solutions, may be relevant to this role.
For more career information including salaries, visit:
OpenCourser.com/course/52vkxw/dp
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
DP-203: Data Engineering on Microsoft Azure - Practice Exam.
Shows how to use Azure Machine Learning services for data engineering tasks, such as data preparation, feature engineering, model training, and deployment.
Covers the principles and practices of data governance in the Azure cloud, including data classification, data quality management, and data security.
Provides a comprehensive overview of data engineering on AWS. It covers everything from data ingestion and storage to data processing and analytics. The DP-203 certification focuses exclusively on Azure services, so this book will provide you with only limited help.
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Provides a comprehensive overview of data management with MongoDB. It covers everything from data modeling and storage to data querying and indexing. While MongoDB popular NoSQL database, it is not a primary focus of the DP-203 certification.
Provides a comprehensive overview of data engineering with Apache Kafka. It covers everything from data ingestion and storage to data processing and analytics. While Kafka popular streaming platform, it is not a primary focus of the DP-203 certification.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/52vkxw/dp
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Time
270 hours
Level
Advanced
Via
Pluralsight
Instructor
Brian Roehm
Language
English
Good to know
Teaches skills and knowledge relevant to the DP-203: Data Engineering on Microsoft Azure certification
Introduces a sequence of courses to prepare for the exam, which shows that the certification is attainable
Has a clear course order and explicit connection to certification exam, which can help learners make a plan and track their progress
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