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Dayo Bamikole
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. In this course, *DP-203: Secure, Monitor, and Optimize Data Storage and Processing*, you’ll learn the necessary skills to excel in each aspect mentioned in the title. First, you’ll explore secure options for data storage. Next, you’ll discover what monitoring capabilities are available for your different data services. Finally, you’ll learn how to optimize your data estate to get the most out of your data. When you’re finished with this course, you’ll have the skills and knowledge of securing, monitoring, and optimizing data storage and processing needed to be an effective data professional.
Register for this course and see more details by visiting:
OpenCourser.com/course/x5morq/dp
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Covers secure options for data storage, which is standard in industry
Provides what monitoring capabilities are available for different data services
Discusses methods to optimize a data estate to maximize its value
May require additional resources for learners who do not come in wtih some prerequisites
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in DP-203: Secure, Monitor, and Optimize Data Storage and Processing with these
activities:
Review Data Storage Fundamentals
Show steps
Review basic data storage concepts and technologies to strengthen your understanding of secure and optimized data storage in Azure.
Browse courses on
Data Storage
Show steps
-
Define key data storage concepts and terms.
-
Describe the different types of data storage services offered by Azure.
-
Explain the benefits and use cases of each data storage service.
Review: Designing Data Intensive Applications
Show steps
Develop a strong understanding of data architecture and how to design data-intensive applications, providing a solid foundation for the course.
View
Designing Data-Intensive Applications: The Big...
on Amazon
Show steps
-
Read the book's introduction and first three chapters.
-
Summarize the key concepts of data modeling, storage, and processing.
-
Identify and discuss the benefits of using a cloud-based data platform.
Data Ingestion and Preparation Exercises
Show steps
Sharpen your skills in data ingestion and preparation, essential for building reliable data pipelines.
Browse courses on
Data Ingestion
Show steps
-
Solve LeetCode problems related to data parsing and transformation.
-
Practice using Python or another programming language to clean and prepare data.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow Tutorials on Azure Security Best Practices
Show steps
Explore Azure security tutorials to gain practical experience implementing best practices for securing your data and infrastructure.
Show steps
-
Identify and follow official Microsoft tutorials on Azure security.
-
Experiment with different security configurations and settings.
-
Test your understanding by applying security measures to your own Azure resources.
Explore Azure Data Factory Pipelines
Show steps
Gain practical experience with Azure Data Factory, a key tool for data integration and processing in the course.
Browse courses on
Azure Data Factory
Show steps
-
Follow the Microsoft Learn tutorial: Create an Azure Data Factory pipeline
-
Build a simple pipeline to move data from one storage location to another.
-
Experiment with different data transformation and cleaning techniques.
Attend an Azure Data Engineering Workshop
Show steps
Enhance your practical skills by attending an immersive workshop focused on Azure Data Engineering.
Show steps
-
Research and identify relevant Azure Data Engineering workshops.
-
Register and attend the workshop.
-
Actively participate in hands-on exercises and discussions.
Practice Data Ingestion and Processing
Show steps
Reinforce your understanding of data ingestion and processing techniques by completing hands-on exercises and simulations.
Browse courses on
Data Ingestion
Show steps
-
Create a data pipeline using Azure Data Factory or Synapse.
-
Ingest data from various sources into an Azure data store.
-
Transform and process the data using Azure Functions or Stream Analytics.
Design a Data Storage Solution
Show steps
Apply your understanding of data storage options to design a solution for a specific scenario.
Browse courses on
Data Storage
Show steps
-
Identify the data storage requirements based on a given scenario.
-
Research and compare different data storage options.
-
Create a detailed design document outlining your proposed solution.
-
Present your design to a group for feedback.
Design and Implement a Data Security Plan
Show steps
Apply your knowledge to create a comprehensive plan that outlines your approach to securing your data and meeting regulatory requirements.
Browse courses on
Security Architecture
Show steps
-
Identify potential security risks and threats.
-
Develop a strategy to mitigate these risks and ensure data integrity.
-
Design a security architecture that aligns with your data security plan.
-
Implement and monitor your security measures to ensure ongoing protection.
Contribute to Open Source Data Projects
Show steps
Gain real-world experience and contribute to the data community by participating in open source projects.
Browse courses on
Open Source
Show steps
-
Identify an open source data project that aligns with your interests.
-
Join the project's community and learn about their contribution guidelines.
-
Contribute code, documentation, or other resources to the project.
Develop a Data Monitoring and Optimization Plan
Show steps
Demonstrate your ability to design and implement a comprehensive data monitoring and optimization plan.
Browse courses on
Data Monitoring
Show steps
-
Establish key performance indicators (KPIs) for data quality, performance, and cost.
-
Design and implement a data monitoring system using Azure tools.
-
Develop strategies for optimizing data storage and processing based on monitoring insights.
-
Create a detailed plan outlining your monitoring and optimization approach.
Review Data Storage Fundamentals
Show steps
Review basic data storage concepts and technologies to strengthen your understanding of secure and optimized data storage in Azure.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Define key data storage concepts and terms.
- Describe the different types of data storage services offered by Azure.
- Explain the benefits and use cases of each data storage service.
Review: Designing Data Intensive Applications
Show steps
Develop a strong understanding of data architecture and how to design data-intensive applications, providing a solid foundation for the course.
View
Designing Data-Intensive Applications: The Big...
on Amazon
Show steps
Show steps
Show steps
- Read the book's introduction and first three chapters.
- Summarize the key concepts of data modeling, storage, and processing.
- Identify and discuss the benefits of using a cloud-based data platform.
Data Ingestion and Preparation Exercises
Show steps
Sharpen your skills in data ingestion and preparation, essential for building reliable data pipelines.
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Solve LeetCode problems related to data parsing and transformation.
- Practice using Python or another programming language to clean and prepare data.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow Tutorials on Azure Security Best Practices
Show steps
Explore Azure security tutorials to gain practical experience implementing best practices for securing your data and infrastructure.
Show steps
Show steps
Show steps
- Identify and follow official Microsoft tutorials on Azure security.
- Experiment with different security configurations and settings.
- Test your understanding by applying security measures to your own Azure resources.
Explore Azure Data Factory Pipelines
Show steps
Gain practical experience with Azure Data Factory, a key tool for data integration and processing in the course.
Browse courses on
Azure Data Factory
Show steps
Show steps
Show steps
- Follow the Microsoft Learn tutorial: Create an Azure Data Factory pipeline
- Build a simple pipeline to move data from one storage location to another.
- Experiment with different data transformation and cleaning techniques.
Attend an Azure Data Engineering Workshop
Show steps
Enhance your practical skills by attending an immersive workshop focused on Azure Data Engineering.
Show steps
Show steps
Show steps
- Research and identify relevant Azure Data Engineering workshops.
- Register and attend the workshop.
- Actively participate in hands-on exercises and discussions.
Practice Data Ingestion and Processing
Show steps
Reinforce your understanding of data ingestion and processing techniques by completing hands-on exercises and simulations.
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Create a data pipeline using Azure Data Factory or Synapse.
- Ingest data from various sources into an Azure data store.
- Transform and process the data using Azure Functions or Stream Analytics.
Design a Data Storage Solution
Show steps
Apply your understanding of data storage options to design a solution for a specific scenario.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Identify the data storage requirements based on a given scenario.
- Research and compare different data storage options.
- Create a detailed design document outlining your proposed solution.
- Present your design to a group for feedback.
Design and Implement a Data Security Plan
Show steps
Apply your knowledge to create a comprehensive plan that outlines your approach to securing your data and meeting regulatory requirements.
Browse courses on
Security Architecture
Show steps
Show steps
Show steps
- Identify potential security risks and threats.
- Develop a strategy to mitigate these risks and ensure data integrity.
- Design a security architecture that aligns with your data security plan.
- Implement and monitor your security measures to ensure ongoing protection.
Contribute to Open Source Data Projects
Show steps
Gain real-world experience and contribute to the data community by participating in open source projects.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify an open source data project that aligns with your interests.
- Join the project's community and learn about their contribution guidelines.
- Contribute code, documentation, or other resources to the project.
Develop a Data Monitoring and Optimization Plan
Show steps
Demonstrate your ability to design and implement a comprehensive data monitoring and optimization plan.
Browse courses on
Data Monitoring
Show steps
Show steps
Show steps
- Establish key performance indicators (KPIs) for data quality, performance, and cost.
- Design and implement a data monitoring system using Azure tools.
- Develop strategies for optimizing data storage and processing based on monitoring insights.
- Create a detailed plan outlining your monitoring and optimization approach.
Career center
Learners who complete DP-203: Secure, Monitor, and Optimize Data Storage and Processing will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/x5morq/dp
Reading list
We've selected three 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: Secure, Monitor, and Optimize Data Storage and Processing.
Provides a comprehensive overview of Azure data services. It covers topics such as data storage, data processing, and data analytics. This book valuable resource for anyone who wants to learn more about Azure data services.
Provides a comprehensive overview of data security and privacy in the cloud. It covers topics such as data encryption, data access control, and data breach prevention. This book valuable resource for anyone who wants to learn more about data security and privacy in the cloud.
Provides a comprehensive overview of Azure security best practices and strategies. It covers topics such as identity and access management, network security, and data protection.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/x5morq/dp
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Time
150 hours
Level
Advanced
Via
Pluralsight
Instructor
Dayo Bamikole
Language
English
Good to know
Covers secure options for data storage, which is standard in industry
Provides what monitoring capabilities are available for different data services
Discusses methods to optimize a data estate to maximize its value
May require additional resources for learners who do not come in wtih some prerequisites
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