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Microsoft Ignite 2019 | Storing Data in Azure | Jeramiah Dooley
Read more
Microsoft Ignite 2019 | Storing Data in Azure | Jeramiah Dooley
Read more
Microsoft Ignite 2019 | Storing Data in Azure | Jeramiah Dooley
Tailwind Traders deals with gigantic amounts of data, continually pouring in from sources such as sales, marketing, and fulfillment. In the past, the only choice they had was to put it all into a relational database in a data center. However, by moving to Microsoft Azure, they can now optimize their data storage with increased scalability and resilience. In this session, we introduce the various storage options available on Azure, from blob to SQL databases. Learn about Azure Cosmos DB, a globally distributed, multi-model database, as well as SQL Data Warehouse and Data Factory.
Register for this course and see more details by visiting:
OpenCourser.com/course/h7xov1/processing
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What's inside
Syllabus
Storing Data in Azure
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Informs learners about various methods to store data in Azure cloud computing
Taught by an individual recognized for work in the given field of storage
Examines key Azure data storage options including Cosmos DB, Data Warehouse, and Data Factory
Suitable for those with an interest in optimizing data storage for scalability and resilience
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Save Processing Serverless Data Using AWS Lambda to your list so you can find it easily later:
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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 Processing Serverless Data Using AWS Lambda with these
activities:
Join a Azure Data Platform community group
Show steps
Joining a Azure Data Platform community group will provide you with the opportunity to connect with other professionals and learn from their experiences.
Show steps
-
Find a community group that is relevant to your interests.
-
Attend meetings and participate in discussions.
-
Share your own knowledge and experience with the group.
Review relational database concepts
Show steps
Reviewing relational database concepts will help you build a knowledge foundation for this course.
Show steps
-
Review the basics of relational database theory, including entities, attributes, and relationships.
-
Study different types of relational database models, such as the hierarchical model, network model, and entity-relationship model.
-
Practice designing and implementing relational database schemas using a tool like MySQL Workbench.
Review Relational Database Concepts
Show steps
Strengthen your foundation in relational database concepts to better understand Azure data storage options.
Browse courses on
Relational Database
Show steps
-
Revisit textbooks or online resources on relational databases
-
Go through practice exercises or quizzes
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Azure Data Storage Study Group
Show steps
Engage with fellow learners, share knowledge, and get support.
Browse courses on
Data Storage
Show steps
-
Find or create a study group for Azure data storage
-
Set regular meeting times and agendas
-
Discuss concepts, share resources, and work through challenges together
Follow Microsoft Azure Data Storage Tutorials
Show steps
Supplement your understanding of Azure data storage concepts with practical walkthroughs.
Browse courses on
Data Storage
Show steps
-
Visit Microsoft Azure documentation
-
Select tutorials relevant to your learning objectives
-
Follow the step-by-step instructions
Design a sample database schema for Tailwind Traders
Show steps
Designing a sample database schema will help you apply the concepts of relational database design to a real-world scenario.
Show steps
-
Identify the entities and attributes that are relevant to the Tailwind Traders business.
-
Determine the relationships between the entities.
-
Create a logical database schema using a tool like ERD Plus.
-
Map the logical schema to a physical schema using a tool like MySQL Workbench.
Create Azure Data Storage Plan
Show steps
Gain hands-on experience designing and implementing a data storage solution for a real-world scenario.
Browse courses on
Data Storage
Show steps
-
Identify data storage requirements
-
Choose appropriate Azure data storage services
-
Configure and implement the data storage solution
-
Test and optimize the data storage solution
Azure Data Storage Quiz
Show steps
Test your knowledge and identify areas for further improvement.
Browse courses on
Data Storage
Show steps
-
Access online Azure data storage quizzes
-
Attempt practice questions
-
Review your results and learn from your mistakes
Follow tutorials on Azure SQL Data Warehouse
Show steps
Following tutorials on Azure Data Warehouse will help you gain a comprehensive understanding of how to use this data warehousing solution.
Show steps
-
Find tutorials on the Microsoft Learn platform.
-
Complete the tutorials in order.
-
Create a sample data warehouse and load data into it.
-
Query the data warehouse using T-SQL.
Azure Data Storage Architecture Diagram
Show steps
Visualize and document your understanding of Azure data storage architecture.
Browse courses on
Data Storage
Show steps
-
Gather information about Azure data storage architecture
-
Choose an appropriate diagramming tool
-
Design and create the architecture diagram
-
Review and refine your diagram
Complete Azure Cosmos DB exercises
Show steps
Completing Azure Cosmos DB exercises will help you develop hands-on experience with this globally distributed, multi-model database.
Show steps
-
Set up an Azure Cosmos DB account.
-
Create a database and container.
-
Insert, update, and delete data using the Azure Cosmos DB API.
-
Query data using SQL and JavaScript.
Write a Blog Post on Azure Data Storage Best Practices
Show steps
Share your knowledge and reinforce your understanding by creating a resource for the community.
Browse courses on
Data Storage
Show steps
-
Research and gather information on Azure data storage best practices
-
Organize your content into a logical structure
-
Write the blog post, ensuring clarity and accuracy
-
Proofread and edit your work
-
Publish your blog post on a relevant platform
Develop a data storage strategy for a real-world business
Show steps
Developing a data storage strategy will help you apply the concepts of data storage and management to a practical business scenario.
Show steps
-
Identify the business requirements for data storage.
-
Evaluate different data storage options, such as relational databases, NoSQL databases, and cloud storage.
-
Design a data storage architecture that meets the business requirements.
-
Develop a data management plan that includes backup, recovery, and security measures.
Azure Data Storage Hackathon
Show steps
Put your skills to the test and showcase your expertise in a competitive environment.
Browse courses on
Data Storage
Show steps
-
Identify a hackathon focused on Azure data storage
-
Form a team or participate individually
-
Develop an innovative data storage solution within the specified timeframe
-
Present your solution and compete for recognition
Contribute to the Azure Cosmos DB GitHub repository
Show steps
Contributing to the Azure Cosmos DB GitHub repository will give you hands-on experience with this open source project.
Show steps
-
Find issues that you are interested in working on.
-
Fork the repository and create a branch for your changes.
-
Make your changes and submit a pull request.
-
Respond to feedback from the community and the Azure Cosmos DB team.
Join a Azure Data Platform community group
Show steps
Joining a Azure Data Platform community group will provide you with the opportunity to connect with other professionals and learn from their experiences.
Show steps
Show steps
Show steps
- Find a community group that is relevant to your interests.
- Attend meetings and participate in discussions.
- Share your own knowledge and experience with the group.
Review relational database concepts
Show steps
Reviewing relational database concepts will help you build a knowledge foundation for this course.
Show steps
Show steps
Show steps
- Review the basics of relational database theory, including entities, attributes, and relationships.
- Study different types of relational database models, such as the hierarchical model, network model, and entity-relationship model.
- Practice designing and implementing relational database schemas using a tool like MySQL Workbench.
Review Relational Database Concepts
Show steps
Strengthen your foundation in relational database concepts to better understand Azure data storage options.
Browse courses on
Relational Database
Show steps
Show steps
Show steps
- Revisit textbooks or online resources on relational databases
- Go through practice exercises or quizzes
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Azure Data Storage Study Group
Show steps
Engage with fellow learners, share knowledge, and get support.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Find or create a study group for Azure data storage
- Set regular meeting times and agendas
- Discuss concepts, share resources, and work through challenges together
Follow Microsoft Azure Data Storage Tutorials
Show steps
Supplement your understanding of Azure data storage concepts with practical walkthroughs.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Visit Microsoft Azure documentation
- Select tutorials relevant to your learning objectives
- Follow the step-by-step instructions
Design a sample database schema for Tailwind Traders
Show steps
Designing a sample database schema will help you apply the concepts of relational database design to a real-world scenario.
Show steps
Show steps
Show steps
- Identify the entities and attributes that are relevant to the Tailwind Traders business.
- Determine the relationships between the entities.
- Create a logical database schema using a tool like ERD Plus.
- Map the logical schema to a physical schema using a tool like MySQL Workbench.
Create Azure Data Storage Plan
Show steps
Gain hands-on experience designing and implementing a data storage solution for a real-world scenario.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Identify data storage requirements
- Choose appropriate Azure data storage services
- Configure and implement the data storage solution
- Test and optimize the data storage solution
Azure Data Storage Quiz
Show steps
Test your knowledge and identify areas for further improvement.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Access online Azure data storage quizzes
- Attempt practice questions
- Review your results and learn from your mistakes
Follow tutorials on Azure SQL Data Warehouse
Show steps
Following tutorials on Azure Data Warehouse will help you gain a comprehensive understanding of how to use this data warehousing solution.
Show steps
Show steps
Show steps
- Find tutorials on the Microsoft Learn platform.
- Complete the tutorials in order.
- Create a sample data warehouse and load data into it.
- Query the data warehouse using T-SQL.
Azure Data Storage Architecture Diagram
Show steps
Visualize and document your understanding of Azure data storage architecture.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Gather information about Azure data storage architecture
- Choose an appropriate diagramming tool
- Design and create the architecture diagram
- Review and refine your diagram
Complete Azure Cosmos DB exercises
Show steps
Completing Azure Cosmos DB exercises will help you develop hands-on experience with this globally distributed, multi-model database.
Show steps
Show steps
Show steps
- Set up an Azure Cosmos DB account.
- Create a database and container.
- Insert, update, and delete data using the Azure Cosmos DB API.
- Query data using SQL and JavaScript.
Write a Blog Post on Azure Data Storage Best Practices
Show steps
Share your knowledge and reinforce your understanding by creating a resource for the community.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Research and gather information on Azure data storage best practices
- Organize your content into a logical structure
- Write the blog post, ensuring clarity and accuracy
- Proofread and edit your work
- Publish your blog post on a relevant platform
Develop a data storage strategy for a real-world business
Show steps
Developing a data storage strategy will help you apply the concepts of data storage and management to a practical business scenario.
Show steps
Show steps
Show steps
- Identify the business requirements for data storage.
- Evaluate different data storage options, such as relational databases, NoSQL databases, and cloud storage.
- Design a data storage architecture that meets the business requirements.
- Develop a data management plan that includes backup, recovery, and security measures.
Azure Data Storage Hackathon
Show steps
Put your skills to the test and showcase your expertise in a competitive environment.
Browse courses on
Data Storage
Show steps
Show steps
Show steps
- Identify a hackathon focused on Azure data storage
- Form a team or participate individually
- Develop an innovative data storage solution within the specified timeframe
- Present your solution and compete for recognition
Contribute to the Azure Cosmos DB GitHub repository
Show steps
Contributing to the Azure Cosmos DB GitHub repository will give you hands-on experience with this open source project.
Show steps
Show steps
Show steps
- Find issues that you are interested in working on.
- Fork the repository and create a branch for your changes.
- Make your changes and submit a pull request.
- Respond to feedback from the community and the Azure Cosmos DB team.
Career center
Learners who complete Processing Serverless Data Using AWS Lambda will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers implement big data processing systems to perform data analysis, mostly working with structured data formats. They implement and manage data pipelines as well as the data itself. Holding a position as a Data Engineer could involve moving to a public cloud environment like Azure and you should consider taking this course to learn about how to store data in Azure as well as how to tailor storage based on various kinds of data.
Database Administrator
Database Administrator
Database Administrators maintain and implement databases. They handle the tasks of installing, configuring, maintaining, and optimizing database management systems to meet an organization's data storage and retrieval needs. This course can help you gain a good understanding of how data is structured in SQL Databases and how to optimize storage in Azure.
Data Scientist
Data Scientist
Data Scientists develop algorithms and create predictive models to solve business problems. They collect and analyze large volumes of data from various sources. As data volumes grow, it is becoming more common for Data Scientists to work on cloud infrastructure and platforms. Take this course to learn about how to store data in Azure and how to scale your data storage solution to meet the demands of big data.
Big Data Architect
Big Data Architect
Big Data Architects design, build, and maintain scalable and fault-tolerant big data systems. The volume of data being produced is growing exponentially and with this course, you can prepare to work in environments like Azure to build and manage big data solutions.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud-based solutions. They work with clients to design and implement cloud-based solutions that meet the client's business needs. This course can be useful in teaching you about Azure and how to store data within its ecosystem.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to provide insights to businesses. They use their findings to help businesses make better decisions. This course may teach skills and knowledge that translate into a career as a Data Analyst, such as storing data in Azure.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify business trends and opportunities. They work with businesses to develop strategies for improving performance. This course may teach skills and knowledge that translate into a career as a Business Intelligence Analyst, such as storing data in Azure.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning algorithms and models. They work with data scientists to collect and prepare data for machine learning. This course may help you get started with building ML models in Azure.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and manage cloud-based infrastructure. They work with clients to design and implement cloud-based solutions that meet the client's business needs. This course can be useful in teaching you about Azure and how to store data within its ecosystem.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work on various projects, from small-scale applications to large-scale enterprise systems. This course may be helpful if you are interested in developing software applications that store data in Azure.
DevOps Engineer
DevOps Engineer
DevOps Engineers work on teams that develop and maintain software applications. They are responsible for the entire software development lifecycle, from planning and development to deployment and maintenance. This course may be helpful if you are interested in working on DevOps teams that use Azure to store data.
Systems Administrator
Systems Administrator
Systems Administrators manage and maintain computer systems. They are responsible for ensuring that systems are running smoothly and efficiently. This course may be helpful if you are interested in working as a Systems Administrator who manages Azure-based systems.
Network Administrator
Network Administrator
Network Administrators manage and maintain computer networks. They are responsible for ensuring that networks are running smoothly and efficiently. This course may be helpful if you are interested in working as a Network Administrator who manages Azure-based networks.
Security Analyst
Security Analyst
Security Analysts monitor and analyze security systems to identify and mitigate security risks. They work with organizations to develop and implement security policies and procedures. This course may be helpful if you are interested in working as a Security Analyst who specializes in Azure security.
Data Warehouse Engineer
Data Warehouse Engineer
Data Warehouse Engineers design, build, and maintain data warehouses. They work with data analysts and business intelligence professionals to create data warehouses that meet the organization's data storage and analysis needs. This course may teach skills and knowledge that translate into a career as a Data Warehouse Engineer, such as storing data in Azure SQL Data Warehouse.
For more career information including salaries, visit:
OpenCourser.com/course/h7xov1/processing
Reading list
We've selected four 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
Processing Serverless Data Using AWS Lambda.
Provides a comprehensive overview of serverless architectures on AWS, including the benefits and challenges of using serverless technologies. It also covers best practices for designing and implementing serverless applications.
Save
Provides a comprehensive overview of the principles and best practices for designing data-intensive applications. It valuable resource for anyone who wants to learn more about this topic.
Save
Provides a practical guide to building serverless architectures with Amazon API Gateway. It covers topics such as serverless functions, event-driven architectures, and serverless security.
Save
Provides a comprehensive overview of the internal workings of distributed databases. It valuable resource for anyone who wants to learn more about this topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/h7xov1/processing
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Time
265 hours
Level
Introductory
Via
Pluralsight
Language
English
Good to know
Informs learners about various methods to store data in Azure cloud computing
Taught by an individual recognized for work in the given field of storage
Examines key Azure data storage options including Cosmos DB, Data Warehouse, and Data Factory
Suitable for those with an interest in optimizing data storage for scalability and resilience
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