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Pinal Dave

This course will teach you various non-relational stores in Azure and their use case with a variety of non-relational workloads.

Non-relational data is an asset that can be utilized in Azure.mIn this course, Understanding Non-relational Data with Azure, you’ll learn about various non-relational data stores and their use cases.

First, you’ll explore all available non-relational data stores like Azure Table Storage, Azure Blob Storage, Azure File Storage and Azure Cosmos DB.

Read more

This course will teach you various non-relational stores in Azure and their use case with a variety of non-relational workloads.

Non-relational data is an asset that can be utilized in Azure.mIn this course, Understanding Non-relational Data with Azure, you’ll learn about various non-relational data stores and their use cases.

First, you’ll explore all available non-relational data stores like Azure Table Storage, Azure Blob Storage, Azure File Storage and Azure Cosmos DB.

Next, you’ll discover advantages and challenges in implementing various non-relational workloads on data stores. Finally, you’ll learn how time series works with Azure as well as CSV and JSON files.

By the end of this course, you’ll have the skills and knowledge of non-relational data-stores available on the Azure platform needed to analyze your non-relational workload.

Enroll now

What's inside

Syllabus

Course Overview
Analyzing Non-relational Data Stores
Working with Time Series Data, JSON, and CSV Files

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills for working with data stores like Azure Table Storage, Azure Blob Storage, Azure File Storage, and Azure Cosmos DB, which are highly relevant to roles in data management and analysis
Taught by Pinal Dave, who is a recognized expert in Azure and data management
Fits well for data professionals seeking to expand their knowledge of non-relational data
Offers a comprehensive overview of non-relational data stores, covering their advantages and challenges
Includes hands-on labs and interactive materials to enhance practical understanding
Students should come in with some prior knowledge of data management or data analysis concepts

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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 Understanding Non-relational Data with Azure with these activities:
Compile resources on non-relational data
Helps you organize and expand your knowledge base by compiling relevant resources.
Show steps
  • Gather articles, tutorials, and other resources on non-relational data.
  • Organize the resources into a structured format, such as a digital notebook or online repository.
Review Azure Fundamentals
Reviewing Azure Fundamentals will provide a strong foundation for understanding the concepts of non-relational data storage in Azure.
Browse courses on Azure Fundamentals
Show steps
  • Review Microsoft documentation on Azure Fundamentals
  • Complete Microsoft Learn modules on Azure Fundamentals
  • Take practice quizzes on Azure Fundamentals
Review key Non-relational data concepts
Refreshes your understanding of key non-relational data concepts before starting the course.
Show steps
  • Review the provided course materials on non-relational data.
  • Complete the interactive tutorial on Azure Table Storage.
22 other activities
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Show all 25 activities
Practice JSON and CSV Data Manipulation
Review the basics of JSON and CSV data manipulation to prepare for the course.
Browse courses on Data Processing
Show steps
  • Install a JSON editor and CSV editor.
  • Open sample JSON and CSV files.
  • Practice parsing, filtering, and modifying the data using the built-in functions of the editors.
Review the fundamentals of non-relational data
Strengthen the understanding of non-relational data concepts ahead of the course.
Show steps
  • Review online articles or blog posts.
  • Go through the course syllabus.
Attend non-relational data meetups
Provides opportunities to connect with professionals in the field and learn about their experiences.
Show steps
  • Search for local or virtual meetups focused on non-relational data.
  • Attend meetups and engage in discussions with other attendees.
Review Time Series Data Concepts
Review the concepts of time series data and its relevance to this course.
Browse courses on Time Series Analysis
Show steps
  • Read the Microsoft documentation on "Time Series Data".
  • Watch a YouTube video on "Time Series Analysis".
Explore examples of using Azure Table Storage
Gain practical insights into how Azure Table Storage is used.
Browse courses on Azure Table Storage
Show steps
  • Find online tutorials or documentation on Azure Table Storage.
  • Follow the tutorials to understand the usage patterns.
Discuss non-relational data use cases
Engages you with peers to share and discuss real-world applications of non-relational data.
Show steps
  • Join a study group or online forum dedicated to non-relational data.
  • Participate in discussions on different use cases for non-relational data.
Walkthrough Azure Table Storage Tutorial
Working through the Azure Table Storage tutorial will provide practical experience in using a non-relational data store in Azure.
Browse courses on Azure Table Storage
Show steps
  • Follow the Microsoft documentation tutorial on Azure Table Storage
  • Create an Azure Table Storage account
  • Create a table and insert entities
  • Query and retrieve entities from the table
Watch tutorials on Azure Blob Storage
Improve understanding of a specific non-relational store in Azure, Azure Blob Storage.
Browse courses on Azure Blob Storage
Show steps
  • Search for tutorials on Azure Blob Storage.
  • Watch several tutorials to get a comprehensive understanding.
Explore Azure Table Storage and Azure Cosmos DB
Provides hands-on experience with two popular non-relational data stores in Azure.
Browse courses on Azure Table Storage
Show steps
  • Follow the guided tutorial on creating and using Azure Table Storage.
  • Follow the guided tutorial on creating and using Azure Cosmos DB.
Follow Tutorials on Azure Non-Relational Data Stores
Complete tutorials provided by Microsoft and Pluralsight to gain hands-on experience with Azure non-relational data stores and best practices.
Browse courses on Azure Cosmos DB
Show steps
  • Sign up for the Microsoft Learn platform.
  • Complete the "Introduction to Azure Cosmos DB" learning path.
  • Watch the Pluralsight course "Azure Storage: A Deep Dive".
Practice Retrieval of Non-Relational Data
Practice writing queries to retrieve data from non-relational data stores like Azure Table Storage and Azure Blob Storage.
Browse courses on Database Queries
Show steps
  • Set up a practice environment with sample data.
  • Write SQL queries to retrieve data from Azure Table Storage.
  • Write queries to retrieve data from Azure Blob Storage using the Azure Storage SDK.
Practice querying non-relational data
Reinforces your understanding of querying non-relational data through repetitive exercises.
Show steps
  • Write queries to retrieve data from Azure Table Storage.
  • Write queries to retrieve data from Azure Cosmos DB.
Practice working with JSON files in Azure
Reinforce the skills in working with JSON files in Azure.
Browse courses on JSON Files
Show steps
  • Create a practice JSON file.
  • Load the JSON file into Azure Storage.
  • Read and write data from the JSON file.
Practice Azure Cosmos DB Queries
Practicing Azure Cosmos DB queries will enhance understanding of how to retrieve and manipulate data in a non-relational database.
Browse courses on Azure Cosmos DB
Show steps
  • Create an Azure Cosmos DB account
  • Create a database and collection
  • Write and execute SQL and LINQ queries to retrieve data
  • Use the Azure Cosmos DB Explorer to visualize and manage data
Attend a workshop on NoSQL databases
Enhance knowledge and skills in NoSQL databases, which are related to non-relational data.
Browse courses on NOSQL Databases
Show steps
  • Find and register for a relevant workshop.
  • Attend the workshop and actively participate.
Discuss Non-Relational Data Design
Participate in online or in-person discussions with peers to exchange ideas and insights on non-relational data design and implementation.
Show steps
  • Join an online forum or community dedicated to Azure non-relational data stores.
  • Attend a meetup or conference focused on non-relational data technologies.
  • Organize a study group with classmates to review course materials and discuss design challenges.
Build a project using Azure Cosmos DB
Apply the knowledge of Azure Cosmos DB to a practical project.
Browse courses on Azure Cosmos DB
Show steps
  • Identify a problem that can be solved using Azure Cosmos DB.
  • Design and build a solution using Azure Cosmos DB.
  • Deploy and test the solution.
Contribute to a project involving non-relational data
Gain practical experience and deepen understanding by contributing to real-world projects.
Show steps
  • Identify an open-source project that uses non-relational data.
  • Find a way to contribute to the project.
  • Submit a pull request or create an issue.
Create a non-relational data model
Provides an opportunity to apply your knowledge of non-relational data stores by creating a model.
Browse courses on Data Modeling
Show steps
  • Identify the specific non-relational data store you want to use for your model.
  • Design the schema for your data model.
  • Create the data model using the appropriate tools and techniques.
Develop a Data Model for a Non-Relational Application
Create a data model for a real-world application that leverages non-relational data stores. This project will help you apply the concepts learned in the course to practical scenarios.
Browse courses on Data Modeling
Show steps
  • Define the problem statement and data requirements for the application.
  • Choose appropriate non-relational data store(s) for the application.
  • Design the data model, including the tables, columns, and relationships.
  • Create a prototype of the application to test the data model.
Contribute to an Open-Source Non-Relational Data Project
Contribute to an open-source project related to non-relational data stores to gain practical experience and demonstrate your skills.
Browse courses on Software Development
Show steps
  • Identify an open-source project on GitHub or other platforms.
  • Fork the repository and make changes.
  • Submit a pull request with your contributions.
  • Respond to feedback and iterate on your contributions.
Develop a Non-Relational Data App
Apply the concepts learned in the course by developing a full-stack application that leverages non-relational data stores.
Browse courses on Azure Data Services
Show steps
  • Choose a programming language and framework.
  • Design the application architecture and data model.
  • Implement the data access layer using the Azure SDK.
  • Build the user interface and integrate it with the data access layer.
  • Test and deploy the application.

Career center

Learners who complete Understanding Non-relational Data with Azure will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to build predictive models and solve business problems. They work with stakeholders to understand business requirements and translate them into data science models. This course may be useful for aspiring Data Scientists who wish to learn about non-relational data stores and how they can be used to store and analyze different types of data.
Data Architect
Data Architects design and build data architectures that meet the needs of an organization. They work with stakeholders to understand business requirements and translate them into technical specifications. This course may be useful for aspiring Data Architects who wish to learn about non-relational data stores and how they can be used to meet the needs of different types of organizations.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with stakeholders to understand business requirements and translate them into software specifications. This course may be useful for aspiring Software Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain software applications.
Data Analyst
Data Analysts use data to identify trends and patterns. They work with stakeholders to understand business requirements and translate them into data analysis plans. This course may be useful for aspiring Data Analysts who wish to learn about non-relational data stores and how they can be used to store and analyze different types of data.
Database Administrator
Database Administrators are responsible for managing and maintaining databases, which may include designing and implementing database systems, as well as monitoring and troubleshooting database performance and security. This course may be useful for aspiring Database Administrators who wish to learn about non-relational data stores, which are becoming increasingly popular due to their scalability and flexibility.
Information Security Analyst
Information Security Analysts develop and implement information security policies and procedures. They work with stakeholders to understand business requirements and translate them into information security specifications. This course may be useful for aspiring Information Security Analysts who wish to learn about non-relational data stores and how they can be used to implement information security policies and procedures.
Data Engineer
Data Engineers build and maintain data pipelines that move data from source systems to target systems. They also develop and maintain data quality processes to ensure that data is accurate and consistent. This course may be useful for aspiring Data Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain data pipelines.
Cloud Architect
Cloud Architects design and build cloud-based solutions. They work with stakeholders to understand business requirements and translate them into cloud architecture specifications. This course may be useful for aspiring Cloud Architects who wish to learn about non-relational data stores and how they can be used to build and maintain cloud-based solutions.
Cloud Engineer
Cloud Engineers build and maintain cloud-based solutions. They work with stakeholders to understand business requirements and translate them into cloud engineering specifications. This course may be useful for aspiring Cloud Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain cloud-based solutions.
Systems Engineer
Systems Engineers design, develop, and maintain complex systems. They work with stakeholders to understand business requirements and translate them into system specifications. This course may be useful for aspiring Systems Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain complex systems.
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. They work with stakeholders to understand business requirements and translate them into data governance specifications. This course may be useful for aspiring Data Governance Analysts who wish to learn about non-relational data stores and how they can be used to implement data governance policies and procedures.
Big Data Engineer
Big Data Engineers build and maintain big data systems. They work with stakeholders to understand business requirements and translate them into big data engineering specifications. This course may be useful for aspiring Big Data Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain big data systems.
Data Privacy Analyst
Data Privacy Analysts develop and implement data privacy policies and procedures. They work with stakeholders to understand business requirements and translate them into data privacy specifications. This course may be useful for aspiring Data Privacy Analysts who wish to learn about non-relational data stores and how they can be used to implement data privacy policies and procedures.
Cloud Data Engineer
Cloud Data Engineers build and maintain cloud-based data solutions. They work with stakeholders to understand business requirements and translate them into cloud data engineering specifications. This course may be useful for aspiring Cloud Data Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain cloud-based data solutions.
Data Integration Engineer
Data Integration Engineers design and build data integration solutions. They work with stakeholders to understand business requirements and translate them into data integration specifications. This course may be useful for aspiring Data Integration Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain data integration solutions.

Reading list

We've selected nine 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 Understanding Non-relational Data with Azure.
Offers a concise introduction to NoSQL databases, covering various data models and use cases. Provides a good foundation for understanding the concepts of non-relational data stores.
Provides an extensive reference for MongoDB, covering its features, administration, and query optimization. Serves as a valuable resource for developers and administrators working with MongoDB.
The official documentation for Azure Storage, providing comprehensive information on its features and APIs. Serves as an essential reference for developers working with Azure Storage.
A hands-on introduction to MongoDB, covering its core concepts and features. Suitable for learners who are new to MongoDB and want to gain practical experience.
The official tutorial for Azure Data Catalog, providing step-by-step instructions on how to use the service. Suitable for learners who want to explore the features and capabilities of Data Catalog.

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