Data Management
Master data management commands for file operations, text processing, checksums, and efficient data manipulation.
File Viewing
6 commandsDisplays the contents of a file.
Displays the first part of a file.
Displays the last part of a file.
Displays the contents of a file, one screen at a time.
Displays the contents of a file in various formats.
Concatenates and prints files in reverse.
File & Directory
8 commandsLists directory contents.
Prints the current working directory.
Creates directories.
Copies files and directories.
Moves or renames files and directories.
Removes files or directories.
Creates links to files.
Updates the access and modification times of files.
File Info
7 commandsDisplays file or file system status.
Displays information about a file.
Displays the absolute path of a file.
Displays the value of a symbolic link.
Locates the executable file associated with a given command.
Calculates and verifies MD5 checksums.
Calculates checksums and counts the number of blocks for a file.
Text Processing
6 commandsCuts out selected portions of each line of a file.
Combines lines from multiple files.
Sorts lines of text files.
Reports or omits repeated lines.
Prints newline, word, and byte counts for each file.
Displays a line of text.
File Operations
4 commandsSplits a file into pieces.
Shrink or extend the size of a file.
Synchronizes cached writes to persistent storage.
Builds and executes command lines from standard input.
System Info
2 commandsDisplays the username of the current user.
Opens a file in the default text editor.
💡 Data Management Tips
- • Use cat, head, and tail to quickly view file contents without opening in an editor
- • Combine cut, paste, and sort for powerful text processing pipelines
- • Always use cp with -r flag when copying directories recursively
- • Use md5sum to verify file integrity and detect corruption
- • Leverage xargs to build complex command lines from input data
- • Use wc to quickly analyze file statistics and line counts
- • Pipe commands together (|) for efficient multi-step data processing
- • Always sync data before critical operations to ensure persistence
- • Test data manipulation commands with copies before modifying originals