Designing data-intensive applications

Designing data-intensive applications in C++ involves considering various aspects, including data storage, data processing, and efficient utilization of system resources. This section will list some key considerations and best practices for designing data-intensive applications in C++.

To begin with, some best practices for data modeling and storage are listed as follows:

• Identify the nature and structure of the data: Analyze the data requirements and determine the appropriate data model, such as relational, NoSQL, or a combination of both, based on the application’s needs.
• Choose efficient data storage solutions: Select appropriate data storage technologies, such as databases (MySQL, PostgreSQL, and MongoDB) or distributed filesystems (Hadoop HDFS and Apache Cassandra), based on factors such as scalability, performance, and data integrity requirements.
• Optimize data access and retrieval: Employ techniques such as indexing...