Introduction
- Spreadsheets are flexible and easy to use for organizing and analyzing data, but become error-prone and hard to manage as data grows or relationships get complex.
- Relational databases store data in multiple related tables, reducing redundancy and ensuring data integrity through primary and foreign keys.
- Databases are better suited for managing complex, interconnected data and support powerful queries using SQL.
- No-code tools like NocoDB combine the user-friendly interface of spreadsheets with the structure and reliability of relational databases.
- Choosing the right tool depends on your needs: spreadsheets for simpler, flexible tasks; databases for structured, scalable, and collaborative work
Relational Databases
- The primary key uniquely identifies each record and must never be empty.
- A foreign key links to an existing primary key in another table, creating relationships between tables.
- Keys help reduce data redundancy and ensure data integrity by connecting related information.
- Normalization (1NF, 2NF, 3NF) step-by-step removes redundancy, prevents anomalies, and organizes data efficiently.
- Splitting data into multiple related tables makes updates, deletions, and extensions safer and easier.
NocoDB Introduction
- In NocoDB, you create tables and add fields (columns) with different data types (e.g., text, number, date).
- Fields of type Link allow you to connect tables and create relationships between records.
- When adding a Link field, you can choose the relation type: One to One, One to Many (Has Many), or Many to Many.
Working with data
- After importing a CSV file, review and adjust the field types for each column to ensure correct data handling.
- Use Filters to display only records that match specific conditions, making it easier to focus on relevant data.
- Grouping allows you to organize records by a chosen field, helping you spot patterns and compare categories.
- Sorting lets you change the order of records, for example by year or artist, to better analyze your data.
- Proper field types and data preparation are essential for efficient filtering, grouping, and sorting in NocoDB.
Views
- NocoDB offers different view types (Grid, Form, Gallery, Kanban, Calendar) to display and interact with your data in various ways.
- Each view can be customized with its own filters, sorting, and visible fields, allowing you to focus on specific aspects of your data.
- Views help you collaborate, collect input, and share selected information without changing the underlying table structure.
- Specialized views like Kanban and Calendar require specific field types (e.g., Single Select for Kanban, Date for Calendar) for optimal use.
- Using multiple views makes it easier to adapt the same dataset for different tasks and
Collaborative Work with NocoDB
- NocoDB allows you to invite team members and assign different roles (Owner, Creator, Editor, Commenter, Viewer) to control access and permissions.
- You can share your Base as a read-only link, letting others view and explore data without being able to edit or delete anything.
- Roles help keep your data secure and your workflow organized by giving each person only the rights they need.
- Public sharing is useful for publishing datasets or enabling transparent collaboration without requiring user accounts.
- Collaboration features make it easy to work together on data projects, whether in a team or with the public.
APIs
- NocoDB automatically provides a REST API for every table, allowing you to read, create, update, and delete records from external applications.
- The built-in Swagger UI lets you explore, test, and interact with the API directly in your browser—no coding required.
- API requests can be filtered and customized using parameters, making it easy to retrieve exactly the data you need.
- Access to the API is secured with API tokens, ensuring only authorized users can interact with your data.
- Webhooks let NocoDB actively send data to other apps or services when certain events occur, enabling automation and integration.