Describe Azure Table storage – Describe considerations for working with non-relational data on Azure

Describe Azure Table storage

Navigating the world of structured, non-relational data can seem daunting. Enter Azure Table storage, part of Azure’s rich storage ecosystem. This NoSQL datastore embraces the schema-less design philosophy, ensuring that as your data needs evolve, your storage can too. Let’s walk through this together so you can see what Azure Table storage offers you.

Understanding Azure Table storage

Azure Table storage is your go-to NoSQL data service for handling vast amounts of structured data. Instead of locking you into a rigid structure, it offers the flexibility to evolve your data schema as your application grows. Imagine being in a scenario where you need to add columns to your data on the fly. That’s where Azure Table shines for you.

Your Building Blocks

Azure Table storage operates around three fundamental elements, tailor-made for your flexible data needs:

  • Tables: Think of these as your main storage spaces. Each table is a unique collection of entities, helping you segment and organize your data effortlessly.

86 CHAPTER 3   Describe considerations for working with non-relational data on Azure

  • Entities: These are your data rows, but with a twist. Every entity in Azure Table storage can possess its unique set of properties, allowing you to customize data points as you go.
  • Properties: These are your actual data points, structured as key-value pairs. You can equip each entity with up to 252 properties.

Figure 3-10 illustrates the building blocks of Azure Table storage.

FIGURE 3-10 Azure Table storage building blocks

With Azure Table storage, you’re not just accessing a NoSQL data store. You’re stepping into an adaptable platform crafted especially for dynamic scenarios. If you’re looking to strike that sweet spot between flexibility and scalability, Azure Table storage is your answer. Dive into the schema-less realm, and let Azure Table storage be your trusted companion.

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