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By Esat from Experience Stack

💭 Database Schemas Explained in 2-mins | XS’ Issue #32

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💭 Database Schemas Explained in 2-mins | XS’ Issue #32
By Esat from Experience Stack • Issue #32 • View online

All You Need to Know About Database Schemas
What Is a Database Schema
A database schema is a blueprint for a database. It defines how data is organized and how it is to be accessed. A well-designed schema can make a database more flexible and easier to use.
A schema also includes information on who can access the data, what kind of data is stored, and how the data is related to other pieces of data in the database. In short, a schema defines the structure of a database.
Types of Database Schemas
While the term database schema is broadly used, it is commonly referring to three different database schema types—a conceptual database schema, a logical database schema, and a physical database schema.
  • A conceptual schema is the highest level of abstraction from which a database system is built. It defines the general structure of the database and the relationship between different data points without going into too much detail.
  • A logical schema, on the other hand, is more specific. It includes all the details about how data should be organized and related in the database.
  • The physical schema is even more specific, providing information about how data should be physically stored on computer devices such as hard drives.
While all three types of schemas are important, the logical schema is where most of the work happens when designing a database. This is because it takes the abstract concepts defined in the conceptual schema and fleshes them out with more concrete details. Once the logical schema is complete, the physical schema can be created, which will detail how the database should be physically implemented.
It’s important to note that a database can have multiple schemas. For example, a company may have a conceptual schema for their customer database, which includes information such as name, address, and phone number. They may also have a separate logical schema for their internal inventory system, which tracks product ID numbers, quantities, and supplier information. In this way, different departments within a company can have specific schemas tailored to their needs while still being able to access and query data from other departments’ schemas.
Benefits of Database Schemas
Some key benefits of database schemas include:
Access and security: By creating a database schema, you can control who has access to which parts of the database. This is important for both security and efficiency reasons. You can also grant different levels of access to different users, allowing some users to read data but not write it, or vice versa.
Organization and communication: A database schema can help to organize and structure data in a way that makes sense for the particular application. It can also make it easier for people to communicate about the data since they all have a shared understanding of its organization.
Integrity and quality: A schema can help ensure data integrity by specifying rules about what data is allowed and how it should be structured. This can help prevent errors and inconsistencies and make it easier to spot them when they occur.
A database schema is a valuable tool for defining and maintaining a database. It can help to improve access control, communication, and data quality.
Rounding Up the Stack
Each week, we try to read, listen to, and watch tens of blog posts (if not more than a hundred), guides, podcasts, videos, webinars, and any means of content to deliver you the best content from the last week.
These are the content from last week that we enjoyed reading and caught our attention:
Blog Posts
  • How to Scale Your Online Customer Experience
Embrace multi-experience, leverage individual touchpoints, and learn how to scale your online customer experience:
  • Iceberg in the Modern Data Stack
The future of the modern data stack is tightly coupled to how data warehouses evolve — and that’s where Iceberg comes in:
  • 3 Ways to Turn Composable Tech Into Competitive Advantage
A composable stack made up of individual and independent components integrated through microservices and APIs delivers that level of freedom and control:
  • Identity Resolution: Data Warehouse vs. Customer Data Platform
Learn how identity resolution occurs in data warehouses vs. customer data platforms and which one is right for your business:
  • 5 Trends That Make Digital Smarter
The future is now, and today we see a totally chaotic vendor marketplace, new categories coming up for software vendors, and if you read updates from the analysts, they point in quite different directions:
Podcast Episodes
This episode features an interview with Rahul Kak, Vice President of Customer Health and Experience at Aetna, a CVS Health Company. Rahul has dedicated his career to being a data-driven and compassionate marketer, guiding patients to healthier outcomes through individualized nudges.
In this episode, Kailey and Rahul dive into privacy versus personalization, how to measure patient outcomes, and how AI models can predict customer behavior.
Good Data, Better Marketing
Good Data, Better Marketing
  • These 3 Data Stakeholders Are the Key to Growing Your Business - Data Unlocked
In this week’s episode of Data Unlocked, Jason sits down with Chad Sanderson, the Head of Data Platform at Convoy. In this episode, Chad discusses the challenges around how data is applied, how businesses can make the most out of their data, the people and processes that drive the data systems, and more.
Data Unlocked
Data Unlocked
Videos and Webinars
This video compares PWA and Native App capabilities and provides some insights into considering each and when:
Progressive Web Apps (PWA) vs Native Apps
Progressive Web Apps (PWA) vs Native Apps
Guides, Case Studies, and Reports
  • What’s a Framework? All About Software Frameworks
A framework can make your job easier and save you the trouble of writing your code totally from scratch. The right framework can also reduce your development time by making it faster to design and troubleshoot:
Upcoming Events and Webinars
  • Get Started With Next.js Middleware
Let’s take a look at practical applications of Next.js middleware. What is it useful for, and how can you get started?
Tuesday, August 23 @ 7.30 pm GMT+2
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That’s it from our side.
Hope you’ll enjoy the content presented above.
Please let us know if you have any questions, comments, or feedback. Don’t hesitate to reach out to us by replying to one of the emails or emailing directly to me via [email protected]
And, if you think your friends or colleagues might enjoy reading this newsletter, feel free to forward it to them 🤗
Till next time 😉
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