Databases, Wireframes, Schema, and Dummy Data, Oh My!

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İçerik Andrew Ly & Jason Yata, Andrew Ly, and Jason Yata tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Andrew Ly & Jason Yata, Andrew Ly, and Jason Yata veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

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Today's episode we discuss databases! A topic a full-stack developer should know. The two most popular database types we'll cover are relational vs. non-relational.
Relational databases

A relational database works by linking information from multiple tables through the use of “keys.” A key is a unique identifier which can be assigned to a row of data contained within a table. This unique identifier, called a “primary key,” can then be included in a record located in another table when that record has a relationship to the primary record in the main table. When this unique primary key is added to a record in another table, it is called a “foreign key” in the associated table. The connection between the primary and foreign key then creates the “relationship” between records contained across multiple tables.
Historically, the most popular relational databases have been Microsoft SQL Server, Oracle Database, MySQL and IBM DB2.
Non-relational databases

The non-relational database, or NoSQL database, stores data. However, unlike the relational database, there are no tables, rows, primary keys or foreign keys. Instead, the non-relational database uses a storage model optimized for specific requirements of the type of data being stored.

Some of the more popular NoSQL databases are MongoDB, Apache Cassandra, Redis, Couchbase and Apache HBase.
Within computer programming, the acronym CRUD stands for create, read, update and delete. These are the four basic functions of persistent storage. Also, each letter in the acronym can refer to all functions executed in relational database applications and mapped to a standard HTTP method, SQL statement or DDS operation.
Dummy data is benign information that does not contain any useful data, but serves to reserve space where real data is nominally present. Dummy data can be used as a placeholder for both testing and operational purposes.
A wireframe is a schematic or blueprint that is useful for helping you, your programmers and designers think and communicate about the structure of the software or website you're building.

References:

Relation vs Non-relational databases

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