Cassandra Admin Advanced is an advanced, hands-on training program designed for database administrators, developers, DevOps professionals, and IT specialists responsible for managing Apache Cassandra environments in production. The course focuses on advanced administration techniques for maintaining highly available, scalable, secure, and high-performance Cassandra clusters.
Course Overview:
Cassandra Admin Advanced is a practical, hands-on training program designed to strengthen the programming and technical skills needed by professionals working with data engineering, big data, integration, and distributed technology environments. The course provides an extensive foundation in Python programming, covering everything from fundamental syntax and data structures to object-oriented programming, database interaction, file management, error handling, modules, packages, and virtual environments.
Participants will begin by setting up a Python development environment and learning the core principles of Python programming. Through progressive exercises, they will work with variables, data types, operators, control structures, functions, collections, comprehensions, and generators, developing the programming foundation required for data and technology projects.
The course then progresses into more advanced Python concepts, including modules and packages, third-party libraries, object-oriented programming, inheritance, exception handling, file and directory management, and virtual environments. These topics help participants develop structured, reusable, and maintainable Python applications.
A dedicated section on database programming introduces participants to database concepts, CRUD operations using SQLite3, and integration with external databases. This provides practical experience in connecting Python applications with data storage systems and working with data programmatically.
The training also includes practical environment setup, package management, and the use of tools such as Anaconda, enabling participants to establish an effective development workflow for data-oriented projects. Depending on organizational requirements, the course can be further customized to explore relevant Python packages, technologies, or use cases.
By the end of the Cassandra Admin Advanced course, participants will have strengthened their Python programming capabilities and gained practical experience in developing scripts and applications that work with files, databases, external packages, and structured data. A mini project and customized exercises provide an opportunity to apply these skills to a relevant workplace or technical scenario.
Pre-requisites:
- The intended audience should have a background on:
- Software Development
- Unix and Hadoop
- The lab setup for this course would be:
- Windows 7 or Higher
- 32GB RAM
- VMWare Player
Target Audience:
- Hadoop Developers
- Data Engineers
- Integration Engineers
- Architects
- Data Steward
Course Duration:
- 21 hours – 3 days
Course Content:
- Getting Started
- Installation
- Python
- Choice of IDE
- Required modules
- Project Environment Setup
- Creating a workspace folder
- Testing if installation is correct
- First Steps Towards Programming
- Syntax
- Expressions
- Statements
- Variables
- Symbols Definition
- Terminologies
- Data Types
- Primitives
- Numbers
- Strings
- Booleans
- Equivalence
- Data Structures
- Lists
- Tuple
- Dictionary
- Set
- Operators
- Arithmetic Operators
- Compound Operators
- Comparison Operators
- Membership Operators
- Logical Operators
- Identity Operators
- Control Structures
- Conditional
- Loops
- For loop
- While loop
- Loop with Else
- The range() function
- Break, Continue & Pass
- Functions
- Calling functions
- Defining functions
- Returning values
- Accepting arguments
- Default arguments
- Keyword arguments
- Arbitrary arguments list
- Anonymous Functions
- Map, Filter
- Modules & Packages
- Introduction to The Standard Library
- Mathematics
- Dates and Times
- Random
- Operating System Interface
- Modules
- Packages
- Installing Third-Party Packages
- Anaconda
- Introduction to The Standard Library
- Comprehension
- General comprehension syntax
- Types of comprehension
- Generators
- Generators vs Lists
- General generator syntax
- Functional generators
- Object Oriented Programming
- Introduction to Object Oriented Programming
- Classes and Objects
- Properties and Methods
- Initializer & Destructor
- Inheritance and Method Overwriting
- Error Handling
- When to use Exceptions
- Handling Exceptions
- Custom error handling routines
- File and Directory Handling
- Reading & Writing Text Files
- Managing files and folders from Python
- Databases
- Introduction to databases
- CRUD operations on SQLite3
- Integrating with external databases
- Virtual Environments
- Creating virtual environments
- Custom Content (depending on attendee’s requirements)
- Exploration of relevant packages
- Mini project
