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Learn Linux from the basics to advanced topics.
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Learn how to build robots, starting with the basics, then move on to learning Python and MicroPython for microcontrollers, finally learn how to make things with Fusion 360.
Learn Python, the most popular programming language in the world. Python is used in many different areas, including Web Development, Data Science, Machine Learning, Robotics and more.
Learn how to create robots in 3D, using Fusion 360 and FreeCAD. The models can be printed out using a 3d printer and then assembled into a physical robot.
Learn how to create Databases in Python, with SQLite3 and Redis.
KevsRobots Learning Platform
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By Kevin McAleer, 3 Minutes
Module 10 focuses on securing SQLite databases and implementing backup strategies to protect data integrity and ensure business continuity.
Securing a SQLite database involves implementing measures to protect data confidentiality, integrity, and availability.
SQLite provides the ability to encrypt a database file using the SQLITE_HAS_CODEC extension. This extension allows you to set a password for the database, making it inaccessible without the correct credentials.
SQLITE_HAS_CODEC
# Encrypting a database with a password connection.execute("PRAGMA key = 'your_password'")
In this example, the PRAGMA key statement is used to set the password for the database. You can replace 'your_password' with your desired password.
PRAGMA key
'your_password'
Ensure appropriate file system access controls are in place to restrict unauthorized access to the database file. Set proper file permissions and restrict file access to authorized users or processes.
Implement access control mechanisms within your application or system to control user access to the SQLite database. Use authentication and authorization techniques to restrict database access to authorized users only.
Regularly backing up SQLite databases is crucial to protect against data loss and ensure business continuity.
The simplest method of backing up an SQLite database is by making a copy of the database file itself. Copy the database file to a secure location or perform scheduled backups to protect against accidental data loss.
You can create an SQL dump of the database using the .dump command in the SQLite shell or programmatically using Python. The SQL dump contains the SQL statements necessary to recreate the database schema and insert data.
.dump
# Creating an SQL dump dump_file = open('backup.sql', 'w') for line in connection.iterdump(): dump_file.write('%s\n' % line) dump_file.close()
In this example, we iterate through the connection.iterdump() generator, which provides the SQL statements to recreate the database structure and data. We write these statements to a backup SQL file.
connection.iterdump()
Some file systems support taking snapshots or point-in-time copies of a file. If your file system supports this feature, taking snapshots of the SQLite database file can provide an efficient and consistent backup solution.
Regularly test your backups by restoring them to ensure that the backup files are valid and the restore process works as expected. Establish backup restoration procedures and document them for quick and efficient recovery in case of data loss.
Consider storing backup copies in off-site or remote locations to protect against physical disasters or localized data loss. Redundant backups on different storage media or cloud storage services can provide additional data protection.
Develop a comprehensive disaster recovery plan that outlines the steps to recover the database in case of catastrophic events. Include backup strategies, restoration procedures, and the roles and responsibilities of personnel involved in the recovery process.
By implementing security measures and implementing backup strategies, you can protect the confidentiality, integrity, and availability of your SQLite databases and ensure business continuity.
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