Non-Relational Data in Microsoft Azure

Self-Paced Learning
1 Hour
Beginner

Learn the fundamentals of non-relational data in Azure, including Azure Storage and Cosmos DB. Gain hands-on experience managing and scaling non-relational data with practical demos and Azure Portal walkthroughs.

$ 9.99
Self-Paced

Explore the vast possibilities of non-relational data with Azure's powerful storage and database services. This course offers a comprehensive introduction to managing non-relational data in the cloud, focusing on Azure’s key offerings: Azure Storage and Azure Cosmos DB. Through hands-on demonstrations and expert guidance, you’ll gain a deep understanding of how to store, manage, and query non-relational data for various use cases.

What You Will Learn:

  • Introduction to Non-relational Data: Understand the role of non-relational (NoSQL) databases in handling diverse, unstructured, or semi-structured data types, and how they differ from traditional relational databases.
  • Azure Storage Services: Explore the different storage options provided by Azure for non-relational data, including blobs, files, queues, and tables. Learn how to efficiently store large amounts of unstructured data.
  • Azure Portal Demonstration: Walk through the Azure portal to set up and manage non-relational data storage, providing hands-on experience with Azure’s interface and functionality.
  • Azure Cosmos DB Overview: Learn how Azure Cosmos DB, a globally distributed, multi-model database service, can handle various non-relational data types and models, including key-value, document, and graph.
  • Azure Cosmos DB Demo: Gain practical experience in managing databases with Cosmos DB, learning how to create, configure, and query non-relational data in a high-performance, globally scalable environment.

Key Features:

  • In-depth explanation of non-relational data concepts and how they apply to modern cloud solutions.
  • Detailed demos in the Azure portal showcasing how to manage non-relational data with Azure Storage and Azure Cosmos DB.
  • Real-world examples of non-relational database use cases and best practices for scaling in the cloud.

Who Should Take This Course:

  • Developers looking to expand their knowledge of non-relational (NoSQL) databases in a cloud environment.
  • Data engineers and cloud architects seeking to implement scalable, globally distributed data solutions.
  • IT professionals wanting to gain practical experience with Azure’s non-relational data services.

Prerequisites:

Basic understanding of cloud services is helpful but not required. No prior experience with Azure or non-relational databases is necessary.

Course Format:

  • Duration: 1 hour
  • Level: Beginner to Intermediate
  • Delivery: Self-paced course with practical demos and step-by-step instructions


By the end of this course, you’ll be equipped with the knowledge and skills to efficiently manage non-relational data using Azure’s cloud-native tools, preparing you to design, deploy, and scale robust data solutions in real-world environments

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Sudhanshu Pandey

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Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.

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Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.

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Google Cloud Champion Innovator specializing in Modern Architecture. Fady is also a Google Cloud Insider and Google Cloud Authorized Trainer.

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Things I am passionate about: Technology, Community, Cyber Security, AWS and all things Cloud. I have strengths in cloud migration and strategy, PCI compliance, infrastructure consolidation and the design and implementation of high performance architectures. I enjoy working with business leadership and external partners on digital strategy and solution roadmaps. What I've been: Cloud Practice Director, CIO, CTO, VP of Technology, Director of Infrastructure. What I am now: Director of Solutions Architecture & Engineering at JetSweep and AWS User Group Leader. Who I am: A passionate, high energy, sarcastic, "glass is probably fuller than it looks" kind of guy.

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