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Gary Grudzinskas

The world will need to deal with the expansion of both the type and volume of data. In this course, you will learn how Azure data services works and how data should be stored effectively. This is where you begin to learn about data engineering.

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The world will need to deal with the expansion of both the type and volume of data. In this course, you will learn how Azure data services works and how data should be stored effectively. This is where you begin to learn about data engineering.

The ability to use mange data is essential for a business to stay competitive. In this course, Selecting an Appropriate Data Storage Service in Microsoft Azure, you’ll be introduced to Azure solutions for storing big data. First, you will learn what types of data are out there. Next, you will explore what factors are involved in storing that data. Finally, you will discover what type of storage is appropriate for what you want to do with your data. When you are finished with this course, you will have a solid understanding of how data is used, and this will help you move forward to discover more about data engineering.

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What's inside

Syllabus

Course Overview
Getting to Know Data
Knowing How Data Flows
Examining Azure Data Storage
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Demands in industry necessitate data management capability
Understands essential data storage needs of businesses
Explores modern data storage solutions from Microsoft Azure
Prerequisites are not explicitly stated
Designed for learners beginning their data engineering journey
May require learners to have previous experience in data management

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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 Selecting an Appropriate Data Storage Service in Microsoft Azure with these activities:
Read "Data Management for Dummies" by Sarah Snider
This book provides a comprehensive overview of data management concepts and best practices, which will complement your learning in this course.
Show steps
  • Read the book's chapters on data storage and management
  • Complete the practice exercises in the book
Review principles of data storage and management
Reviewing the essential principles will provide you with a stronger foundation for learning about data engineering.
Browse courses on Data Storage
Show steps
  • Re-read textbook chapters on data storage and management
  • Complete practice problems on data modeling and normalization
  • Review online tutorials on SQL and NoSQL databases
Follow tutorials on Azure data storage services
Following guided tutorials will provide you with practical experience using Azure data storage services.
Browse courses on Azure Storage
Show steps
  • Watch video tutorials on Azure data storage services
  • Step through hands-on labs on Azure data storage services
  • Complete interactive exercises on Azure data storage services
One other activity
Expand to see all activities and additional details
Show all four activities
Practice designing data storage solutions
Engaging in hands-on practice will help you develop the skills needed for designing effective data storage solutions.
Browse courses on Data Modeling
Show steps
  • Identify a real-world data storage problem
  • Design a data model for the problem
  • Select appropriate storage technologies for the data model
  • Implement the data storage solution using Azure services
  • Test and evaluate the performance of the solution

Career center

Learners who complete Selecting an Appropriate Data Storage Service in Microsoft Azure will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. They work with data analysts and other stakeholders to ensure that data is available in a timely and accurate manner. This course is a great starting point for aspiring Data Engineers as it provides a foundation in data storage and management, including an understanding of data types, storage options, and data flow. The course also covers the basics of Azure data services, which are widely used in the industry.
Privacy Officer
A Privacy Officer is responsible for protecting an organization's privacy. They work with other stakeholders to develop and implement privacy policies and procedures. This course may be useful to aspiring Privacy Officers as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Privacy Officers.
Information Security Analyst
An Information Security Analyst is responsible for protecting an organization's information systems from security threats. They work with other stakeholders to develop and implement information security policies and procedures. This course may be useful to aspiring Information Security Analysts as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Information Security Analysts.
Risk Manager
A Risk Manager is responsible for identifying and managing risks. They work with other stakeholders to develop and implement risk management policies and procedures. This course may be useful to aspiring Risk Managers as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Risk Managers.
Data Protection Officer
A Data Protection Officer is responsible for ensuring that an organization complies with data protection laws and regulations. They work with other stakeholders to develop and implement data protection policies and procedures. This course may be useful to aspiring Data Protection Officers as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Data Protection Officers.
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. They use their findings to help businesses make informed decisions. This course may be useful to aspiring Data Analysts as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Data Analysts.
Business Analyst
A Business Analyst works with stakeholders to identify and solve business problems. They use data analysis and other techniques to develop solutions that meet the needs of the business. This course may be useful to aspiring Business Analysts as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Business Analysts.
Cloud Architect
A Cloud Architect designs and manages cloud computing solutions. They work with clients to understand their business needs and develop solutions that meet those needs. This course may be useful to aspiring Cloud Architects as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Cloud Architects.
Information Architect
An Information Architect designs and manages the structure and organization of information. They work with stakeholders to ensure that information is accessible and usable. This course may be useful to aspiring Information Architects as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Information Architects.
Data Scientist
A Data Scientist uses statistical methods and machine learning to extract insights from data. They work with data engineers and other stakeholders to identify and solve business problems. This course may be useful to aspiring Data Scientists as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for Data Scientists.
Database Administrator
A Database Administrator is responsible for installing, configuring, securing, maintaining, and optimizing a database management system. They also handle data backup and recovery procedures. This course may be useful to aspiring Database Administrators as it provides a foundation in data storage and management, including an understanding of data types, storage options, and data flow. The course also covers the basics of Azure data services, which are widely used in the industry.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with other engineers and stakeholders to ensure that software applications meet the needs of users. While this course is not directly related to software engineering, it may be useful to aspiring Software Engineers who are interested in working with data. The course provides a foundation in data storage and management, as well as an overview of Azure data services.
UX Designer
A UX Designer designs and evaluates user interfaces. They work with other designers and engineers to create user interfaces that are easy to use and understand. This course may be useful to aspiring UX Designers as it provides a foundation in data storage and management, as well as an overview of Azure data services. The course also covers data flow and data types, which are essential concepts for UX Designers.

Reading list

We've selected 12 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 Selecting an Appropriate Data Storage Service in Microsoft Azure.
Provides a comprehensive overview of data visualization with Microsoft Power BI. It covers topics such as data modeling, data visualization, and data storytelling. It valuable resource for anyone who wants to learn more about how to use Power BI to create powerful data visualizations.
Provides a comprehensive introduction to data management concepts and best practices. It covers topics such as data modeling, data integration, data quality, and data governance. This reference can assist beginners in establishing a strong foundation in data management for those who want additional context.
Provides a comprehensive guide to MongoDB. It covers topics such as MongoDB architecture, MongoDB programming, and MongoDB applications. The book is useful for those who want to learn more about MongoDB.
Provides a comprehensive overview of cloud computing concepts, technologies, and architectures. It covers topics such as cloud service models, cloud deployment models, and cloud security. The book can be used as a supplement to the course for those who want to learn more about cloud computing.
Provides a comprehensive overview of cloud computing concepts, technologies, and applications. It covers topics such as cloud architectures, cloud services, and cloud security. This title serves as a good supplementary resource for getting up to speed on cloud computing fundamentals.
Provides a comprehensive guide to Hadoop. It covers topics such as Hadoop architecture, Hadoop ecosystem, and Hadoop applications. The book is useful for those who want to learn more about Hadoop.
Provides a comprehensive guide to Spark. It covers topics such as Spark architecture, Spark programming, and Spark applications. The book is useful for those who want to learn more about Spark.
Provides a practical guide to data-intensive text processing using MapReduce. It covers topics such as data cleaning, feature extraction, and text classification. This book is useful for those interested in learning more about big data processing.
Provides a business-oriented perspective on data science, including how to use data to make better decisions.
Provides a detailed understanding of the architectural principles for building web applications that handle large amounts of data. Covers data storage, caching, and scalability.
Explores the challenges and techniques for building data-intensive applications in the cloud. Covers data storage, processing, and scaling in cloud environments.

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