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Working with Azure Data Storage

Dean Savovic

This project teaches you the variety of ways to store data in Azure. You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data that you want to store in the cloud. After this project you will be able to define the appropriate settings for each storage account and create a storage account using the Azure portal. You will also understand how data lake storage can be created to support a wide variety of big data analytical solutions with minimal effort.

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This project teaches you the variety of ways to store data in Azure. You will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data that you want to store in the cloud. After this project you will be able to define the appropriate settings for each storage account and create a storage account using the Azure portal. You will also understand how data lake storage can be created to support a wide variety of big data analytical solutions with minimal effort.

In this 1-hour long project-based course, you will learn how to (create a storage account using the Azure portal, create an Azure Data Lake Store Gen 2 using the portal, upload data into the Data Lake Storage Gen2 using Azure Storage Explorer and copy data using Azure Data Factory ).

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

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what should give you pause

and possible dealbreakers

Embarks on a tour of storage concepts in Azure, solidifying the fundamentals of data management in the cloud

Provides hands-on practice through exercises, solidifying an understanding of how to configure and deploy storage solutions in Azure

Geared towards beginners seeking an accessible introduction to Azure data storage

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Reviews summary

Concise azure data storage fundamentals

According to students, this project-based course is a highly practical and concise introduction to Azure data storage. Many find it perfect for quickly getting started or for a quick refresh on topics like Storage Accounts and Data Lake Gen2. While praised for its clear, step-by-step instructions and hands-on labs, some learners feel its 1-hour duration limits depth, making it too basic for those with prior Azure experience. Recent feedback indicates mixed experiences with lab environments, with some finding them working perfectly while others faced outdated content and broken labs. It serves best as a solid start for absolute beginners in Azure storage.

Ideal for new Azure users, too basic for experienced learners.

"Good overview for beginners, especially if you're new to Azure."

"It's definitely for absolute beginners in Azure storage."

"If I had any prior experience with Azure, I might find it too superficial."

A short, hands-on overview of essential Azure storage.

"This project was a concise and highly practical introduction to Azure storage. ... Perfect for getting started quickly."

"Fantastic quick start! I needed to get up to speed with Azure Data Lake Storage Gen2 quickly for a project, and this delivered. The practical steps covered exactly what I needed. Highly recommend for busy professionals."

"Excellent and to the point. For a 1-hour course, it packs a lot of practical knowledge. Great for a quick refresh or initial exposure."

The 1-hour format limits coverage depth, not a deep dive.

"It's too short and doesn't go into enough detail. I don't think it's worth the time if I want comprehensive learning."

"The '1-hour' duration limits true depth. I needed more troubleshooting tips."

"I don't expect deep dives from this course, but it's a solid start."

Outdated instructions or broken labs reported by some users.

"Outdated content and broken labs. I couldn't even complete the first few steps because the Azure portal UI looked different. This course urgently needs an update."

"The labs were a bit buggy, and I spent more time trying to fix issues than learning."

"The instructions sometimes don't match the current Azure UI, which can be confusing. It would be better if updated regularly."

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 Working with Azure Data Storage with these activities:

Review data storage fundamentals

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Revisit the basics of storage management and data storage concepts to refresh your knowledge before starting the course.

Browse courses on Storage Management

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Review articles or blog posts on data storage concepts.
Go through your notes or textbooks from previous courses related to data storage.

Compile a list of resources on data storage

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Create a comprehensive resource list to support your learning and future reference.

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Gather articles, tutorials, and documentation on data storage from various sources.
Organize the resources into categories or topics.
Share your compilation with others or keep it for your own reference.

Practice creating and managing storage accounts

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Reinforce your understanding of storage account creation and management by practicing in a hands-on environment.

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Create a new storage account in Azure using the Azure portal.
Configure the settings for the storage account, such as the type, redundancy, and access tier.
Manage the storage account, including updating its properties, deleting it, and managing its access control.

Four other activities

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Discuss data storage best practices

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Engage with peers to share knowledge and learn from their experiences in data storage.

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Join a study group or online forum focused on data storage.
Participate in discussions, ask questions, and share your insights on data storage best practices.

Explore advanced data storage options

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Deepen your knowledge by exploring advanced data storage options and their applications in real-world scenarios.

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Follow tutorials on creating and managing Azure Data Lake Storage Gen2.
Learn about different storage optimization techniques and their benefits.
Explore case studies or examples of how advanced data storage options are used in various industries.

Design a data storage solution

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Demonstrate your understanding by designing a data storage solution for a specific scenario.

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Identify the data storage requirements for a given scenario.
Design a storage solution that meets the requirements, considering factors such as data type, volume, and performance.
Document your design, including the rationale behind your choices.

Contribute to open-source projects related to data storage

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Engage with the community and gain hands-on experience by contributing to open-source data storage projects.

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Identify open-source projects related to data storage that interest you.
Review the project documentation and codebase.
Make contributions to the project, such as fixing bugs, adding features, or improving documentation.

Career center

Learners who complete Working with Azure Data Storage will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers are responsible for building and maintaining data pipelines to make data available for analytics. They work on designing, developing, and deploying scalable and reliable data storage solutions. This course teaches you the variety of ways to store data in Azure and how to choose the right model for the data that you want to store in the cloud.

See salaries and explore the career path for Data Engineer

Cloud Architect

A Cloud Architect will have a deep understanding of how cloud computing environments work. In this role you will take part in designing, developing, and maintaining cloud-based architectures. Many companies are also beginning to adopt various facets of data storage to increase their efficiency and reduce costs. Those going into a career as a Cloud Architect should take this course as it provides an understanding of the various storage solutions available on a cloud infrastructure.

See salaries and explore the career path for Cloud Architect

Data Analyst

Data Analysts help businesses make data-driven decisions by collecting, cleaning, and analyzing data. A course in working with Azure Data Storage would be immensely beneficial for those wishing to get into this field as it provides hands-on experience with several data storage solutions from Microsoft.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators maintain and administer databases, and they ensure that data is stored securely and efficiently. This course would be helpful for aspiring Database Administrators because it provides a solid foundation in working with cloud-based data storage solutions, such as Azure Storage Accounts and Azure Data Lake Store Gen 2.

See salaries and explore the career path for Database Administrator

IT Architect

IT Architects design, develop, and maintain IT systems. They work on a variety of projects, from small-scale network upgrades to large-scale data center migrations. Those interested in a career as an IT Architect will find this course helpful, as it provides a comprehensive overview of how to work with Azure Data Storage.

See salaries and explore the career path for IT Architect

Systems Analyst

Systems Analysts analyze and design business systems. They work on a variety of projects, from small-scale process improvements to large-scale system implementations.

See salaries and explore the career path for Systems Analyst

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. They work on a variety of projects, from developing self-driving cars to improving healthcare outcomes.

See salaries and explore the career path for Machine Learning Engineer

DevOps Engineer

DevOps Engineers bridge the gap between development and operations teams. They are responsible for ensuring that software is deployed and maintained efficiently and reliably. This course would be beneficial for those interested in a career as a DevOps Engineer because it provides hands-on experience with Azure DevOps, which is a popular tool for managing software development and deployment.

See salaries and explore the career path for DevOps Engineer

IT Manager

IT Managers plan, implement, and manage IT systems and services. They are responsible for ensuring that IT systems are aligned with business needs and that they are running smoothly and efficiently.

See salaries and explore the career path for IT Manager

Software Architect

Software Architects design and develop software systems. They work on a variety of projects, from small-scale web applications to large-scale enterprise systems.

See salaries and explore the career path for Software Architect

Software Engineer

Software Engineers design, develop, and maintain software applications. They work on a variety of projects, from small-scale mobile apps to large-scale enterprise systems.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design and develop websites and web applications. They work on a variety of projects, from small-scale personal websites to large-scale e-commerce systems.

See salaries and explore the career path for Web Developer

Data Scientist

Data Scientists use data to solve business problems. They work on a variety of projects, from developing predictive models to analyzing customer behavior.

See salaries and explore the career path for Data Scientist

Technical Support Specialist

Technical Support Specialists provide technical support to users of software and hardware products. They answer questions, troubleshoot problems, and provide training to resolve user issues.

See salaries and explore the career path for Technical Support Specialist

Network Administrator

Network Administrators install, configure, and maintain computer networks. They are responsible for ensuring that networks are secure and reliable.

See salaries and explore the career path for Network Administrator

Reading list

We've selected eight 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 Working with Azure Data Storage.

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Cover image

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Provides a comprehensive guide to designing and building data-intensive applications. It covers topics such as data models, data storage, data processing, and data visualization.

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Scalable Data Analytics with Azure Data Explorer

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Provides a detailed exploration of Azure Storage Services, covering topics such as storage accounts, blobs, queues, and tables. It is recommended if you are looking for a comprehensive reference guide on Azure Storage Services.

Scalable Data Analytics with Azure Data Explorer:...

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Microsoft Azure Infrastructure Services for...

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Provides a comprehensive overview of Azure Storage services, including fundamental concepts, capabilities, and best practices. It is recommended if you seek a solid foundation in Azure Storage and want to learn how to effectively use it for various data storage needs.

Microsoft Azure Infrastructure Services for...

Microsoft Azure Infrastructure Services for...

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The Data Warehouse Toolkit

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Classic guide to dimensional modeling, a data modeling technique that is often used in data warehousing. It provides a step-by-step guide to designing and building a dimensional model.

The Data Warehouse Toolkit

The Data Warehouse Toolkit

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Hadoop: The Definitive Guide

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While Hadoop is not directly related to Azure data storage, it widely used framework for big data processing and data analytics. Understanding Hadoop concepts and its ecosystem can be beneficial for those interested in exploring big data solutions beyond Azure.

Hadoop: The Definitive Guide: Storage and Analysis...

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide

Hadoop: The Definitive Guide

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Cover image

Cloud Computing

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Provides a comprehensive overview of cloud computing, covering topics such as cloud architectures, cloud services, and cloud security. It's a great resource for anyone who wants to learn more about the fundamentals of cloud computing.

Cloud Computing: Concepts, Technology &...

(中文) Cloud Computing: Concepts. Technology and...

Cloud Computing: Concepts, Technology &...

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Cover image

Cloud Computing

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Serves as a broad introduction to cloud computing, covering fundamental concepts, technologies, and use cases. While it may not be directly focused on Azure data storage, it provides a good foundation for understanding the broader context of cloud data management.

Cloud Computing: Theory and Practice

Cloud Computing: Theory and Practice

Cloud Computing: Theory and Practice

(中文) Cloud Computing: Principles. Applications....

Cover image

Cover image

Exam 98-368 MTA Mobility and Device Fundamentals

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Provides a fundamentals guide to Azure data services. It covers a wide range of topics, including storage, analytics, and machine learning. It valuable resource for anyone who wants to learn more about Azure data services.

Exam 98-368 MTA Mobility and Device Fundamentals

Exam 98-368 MTA Mobility and Device Fundamentals

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Effort

2 hours

Level

Introductory

Via

Coursera

Institution

Coursera Project Network

Instructor

Dean Savovic

Language

English

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Embarks on a tour of storage concepts in Azure, solidifying the fundamentals of data management in the cloud

Provides hands-on practice through exercises, solidifying an understanding of how to configure and deploy storage solutions in Azure

Geared towards beginners seeking an accessible introduction to Azure data storage

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