7 Rules About Special Database Meant to Be Broken

Databases are an essential part of modern computing, storing and organizing vast amounts of data that enable everything from online shopping to social media. However, some databases are designed to be special, with unique rules that set them apart from traditional databases. These rules may be intended to improve performance, provide security, or support specialized use cases. But, like any rule, they can be broken under certain circumstances. Here are seven rules about special databases that can be broken when the situation demands it.

 Single-purpose databases should never be repurposed

  1. Specialized databases are designed to handle specific tasks and often have constraints that make them unsuitable for other uses. However, in some cases, it may be necessary to repurpose a single-purpose database to handle additional tasks. For example, a database used for logging may also be used for reporting if it can be optimized to handle both types of queries efficiently.
  2. Database schema should never be modified: A database schema defines the structure of the database, including tables, columns, and relationships between data elements. Specialized databases often have strict schema requirements to ensure data integrity and consistency. However, there may be situations where the schema needs to be modified to support new use cases or accommodate changes in data formats.
  3. Transactions should always be used: Transactions are a powerful tool for ensuring data consistency in traditional databases. However, in some specialized databases, transactions may not be necessary or may even hinder performance. For example, in a database designed for high-speed data ingestion, transactions may be disabled to reduce overhead and improve throughput.
  4. Data should always be normalized: Normalization Whatsapp Mobile Number List is the process of organizing data in a database to minimize redundancy and improve efficiency. However, in some cases, denormalization may be necessary to improve performance for specific queries. For example, a database used for reporting may denormalize data to reduce the number of joins required to generate reports.
  5. Access controls should always be strict: Access controls are critical for protecting sensitive data in databases. However, in some cases, it may be necessary to loosen access controls to support specific use cases. For example, a database used for testing may have less restrictive access controls than a production database to allow developers to experiment with new features.

Backups should always be kept offsite

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  1. Backups are essential for protecting data in case of a disaster or other data loss event. However, in some cases, it may be necessary to keep backups onsite to support rapid recovery. For example, a database used for high availability may have frequent backups stored locally to minimize recovery time.
  2. Queries should always be optimized: Query CMO Email List optimization is the process of improving the performance of database queries. However, in some cases, optimization may not be necessary or may be counterproductive. For example, in a database designed for ad-hoc queries, optimization may be less critical than in a database used for transaction processing.

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