How do you document a database?

How do you document a database?

1. 8 Different Types of Tools You Can Use to Document your Database. Piotr Kononow.
2. Word processors.
3. Spreadsheets.
4. Database development and management tools.
5. Documentation generators (read only)
6. Documentation tools (read/write)
7. Advanced documentation tools (read/write + metadata + authoring)
8. Data Modeling tools.

What application is suitable for relational database?

Popular examples of standard relational databases include Microsoft SQL Server, Oracle Database, MySQL and IBM DB2. Cloud-based relational databases, or database as a service, are also widely used because they enable companies to outsource database maintenance, patching and infrastructure support requirements.

What are the 3 basic relationships in relational database?

There are three types of relationships between the data you are likely to encounter at this stage in the design: one-to-one, one-to-many, and many-to-many. To be able to identify these relationships, you need to examine the data and have an understanding of what business rules apply to the data and tables.

How do you create a good relational database?

How to design your relational database, step by step

1. Step 1: define your purpose and objectives.
2. Step 2: analyze data requirements.
3. Step 3: create a list of entities and a list of attributes.
4. Step 4: model the tables and fields.
5. Step 5: establish table relationships.
6. Step 6: establish business rules.
7. Step 7: check your work.

What is the best document database?

Top 10 Document Databases

• Amazon DynamoDB.
• MongoDB.
• MongoDB Atlas.
• Couchbase Server.
• Google Cloud Firestore.
• Percona Server for MongoDB.
• ArangoDB.
• InterSystems IRIS.

What are document databases good for?

Document databases make it easier for developers to store and query data in a database by using the same document-model format they use in their application code. Document databases enable flexible indexing, powerful ad hoc queries, and analytics over collections of documents.

What makes a relational database relational?

A relational database refers to a database that stores data in a structured format, using rows and columns. This makes it easy to locate and access specific values within the database. It is “relational” because the values within each table are related to each other. Tables may also be related to other tables.

Should I use a relational database?

The choice of database architecture depends entirely on its use and application. For organizations that need to store predictable, structured data with a finite number of individuals or applications accessing it, a relational database is still the best option.

What is a relationship in a relational database?

A relationship, in the context of databases, is a situation that exists between two relational database tables when one table has a foreign key that references the primary key of the other table. Relationships allow relational databases to split and store data in different tables, while linking disparate data items.

How do relationships work in a database?

Database relationships are associations between tables that are created using join statements to retrieve data. The following table describes the database relationships. Both tables can have only one record on each side of the relationship. Each primary key value relates to none or only one record in the related table.

What are features of good relational database design?

Review: Qualities of a Good Database Design

• Reflects real-world structure of the problem.
• Can represent all expected data over time.
• Avoids redundant storage of data items.
• Provides efficient access to data.
• Supports the maintenance of data integrity over time.
• Clean, consistent, and easy to understand.

What are the features of a good relational design?

Relational Database Features

• Tabular Structure of Indexed File Data.
• System Catalog.
• SQL DDL (Data Definition Language) Support.
• SQL DML (Data Manipulation Language) Enhancements.
• Multi-level Security.
• Enhanced Performance.

How is data stored in a relational database?

In a database, data is normally stored in hierarchical or navigational form. Since data is stored in the form of tables in a relational database, then the relationship between these data values is stored as well. Since a database stores data as files, then there is not relationship between the values or tables.

When was the relational database invented?

The relational database was invented in 1970 by E. F. Codd, then a young programmer at IBM. In his paper, “A Relational Model of Data for Large Shared Data Banks,” Codd proposed shifting from storing data in hierarchical or navigational structures to organizing data in tables containing rows and columns.

What is a good way to document database?

A super fast way to document database using DBML – its own open-source DSL language. You have complete control over which schema, relationship, and metadata you want to add to the document. Have a visualized overview of the database structure as well as an individual view of each table and its relationships.

What is a cloud-based relational database?

Cloud-based relational databases, or database as a service (DBaaS), are also widely used because they enable companies to outsource database maintenance, patching and infrastructure support requirements. Cloud relational databases include Amazon Relational Database Service ( RDS ), Google Cloud SQL, IBM DB2 on Cloud, SQL Azure and Oracle Cloud.