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$5/hr Starting at $25

What is a Database?

A database is an organized collection of data that is stored, managed, and accessed electronically. It enables users to efficiently store, retrieve, modify, and manage data in a structured way.

Types of Databases:

  1. Relational Database (RDBMS): Uses tables to store data with relationships between them (e.g., MySQL, PostgreSQL, Oracle).
  2. NoSQL Database: Designed for unstructured or semi-structured data, offering flexibility (e.g., MongoDB, Cassandra).
  3. Cloud Database: Hosted on cloud platforms for scalability and remote access (e.g., AWS RDS, Google Cloud Firestore).
  4. Distributed Database: Data is spread across multiple locations to enhance availability and performance.
  5. Graph Database: Stores data in graph structures for relationship-based queries (e.g., Neo4j).
  6. Time-Series Database: Optimized for time-stamped data like logs and sensor data (e.g., InfluxDB).

Key Components of a Database:

  • Tables: Structure that stores data in rows and columns (in relational databases).
  • Schema: Defines the structure, relationships, and constraints of the data.
  • Indexes: Speed up search operations.
  • Queries: Requests to retrieve or modify data using languages like SQL.
  • Transactions: Ensure data consistency and integrity.

Database Management System (DBMS):

A DBMS is software that allows users to interact with a database. Examples include:

  • SQL-based DBMS: MySQL, SQL Server, PostgreSQL
  • NoSQL-based DBMS: MongoDB, Redis

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$5/hr Ongoing

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What is a Database?

A database is an organized collection of data that is stored, managed, and accessed electronically. It enables users to efficiently store, retrieve, modify, and manage data in a structured way.

Types of Databases:

  1. Relational Database (RDBMS): Uses tables to store data with relationships between them (e.g., MySQL, PostgreSQL, Oracle).
  2. NoSQL Database: Designed for unstructured or semi-structured data, offering flexibility (e.g., MongoDB, Cassandra).
  3. Cloud Database: Hosted on cloud platforms for scalability and remote access (e.g., AWS RDS, Google Cloud Firestore).
  4. Distributed Database: Data is spread across multiple locations to enhance availability and performance.
  5. Graph Database: Stores data in graph structures for relationship-based queries (e.g., Neo4j).
  6. Time-Series Database: Optimized for time-stamped data like logs and sensor data (e.g., InfluxDB).

Key Components of a Database:

  • Tables: Structure that stores data in rows and columns (in relational databases).
  • Schema: Defines the structure, relationships, and constraints of the data.
  • Indexes: Speed up search operations.
  • Queries: Requests to retrieve or modify data using languages like SQL.
  • Transactions: Ensure data consistency and integrity.

Database Management System (DBMS):

A DBMS is software that allows users to interact with a database. Examples include:

  • SQL-based DBMS: MySQL, SQL Server, PostgreSQL
  • NoSQL-based DBMS: MongoDB, Redis

Skills & Expertise

Component DevelopmentData BaseData ManagementDatabase DevelopmentSQL

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