In Internet live streaming scenarios, the service traffic in peak hours is several times higher than that in off peak hours, for example, when there is breaking celebrity news or other hot headlines. Structured and unstructured data needs to be stored. Which of the following database services are required?
Question
In Internet live streaming scenarios, the service traffic in peak hours is several times higher than that in off peak hours, for example, when there is breaking celebrity news or other hot headlines. Structured and unstructured data needs to be stored. Which of the following database services are required?
Solution
In Internet live streaming scenarios, the service traffic in peak hours is several times higher than that in off peak hours, for example, when there is breaking celebrity news or other hot headlines. Structured and unstructured data needs to be stored. Which of the following database services are required?
In this scenario, where there is a need to store both structured and unstructured data, the following database services are required:
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Relational Database Management System (RDBMS): This type of database is suitable for storing structured data, which can be organized into tables with predefined schemas. RDBMSs provide a structured way to store and retrieve data, making them suitable for storing information such as user profiles, transaction records, and metadata.
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NoSQL Database: NoSQL databases are designed to handle unstructured and semi-structured data. They provide a flexible schema that allows for the storage of various data types, including documents, key-value pairs, graphs, and time-series data. NoSQL databases are well-suited for storing data such as user-generated content, social media feeds, and log files.
By using both an RDBMS and a NoSQL database, the streaming service can effectively store and manage both structured and unstructured data, ensuring efficient data retrieval and scalability during peak hours.
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