Apache Cassandra

Unleash the power of Apache Cassandra, a highly scalable and fault-tolerant NoSQL database! This immersive course equips you with the knowledge and skills to design, deploy, and manage Cassandra databases for demanding applications.

Target Audience:

This course is designed for developers, database administrators, and architects who want to leverage Apache Cassandra for high-performance data storage and retrieval.

Course Objectives:

• Gain a thorough understanding of NoSQL databases and their advantages over traditional relational databases.

• Explore the core concepts and architecture of Apache Cassandra, including distributed design, data replication, and fault tolerance.

• Master the Cassandra data model (wide-column store) and effectively model data for your applications.

• Write efficient Cassandra Query Language (CQL) statements for CRUD operations and complex queries.

• Install, configure, and manage Cassandra clusters on different platforms.

• Understand data partitioning strategies for optimal performance and scalability.

• Explore denormalization and secondary indexes for efficient data retrieval.

• Navigate the trade-offs between consistency and availability in Cassandra.

• Implement basic performance tuning techniques for Cassandra clusters.

• Work with advanced data types like collections and user-defined types.

• Apply security best practices for authentication, authorization, and data encryption.

Course Length: 3 days

Course Structure:

Module 1: Introduction to NoSQL Databases

• Understanding the NoSQL landscape and its benefits compared to relational databases.

• Identifying use cases where NoSQL databases excel.

Module 2: Apache Cassandra: Introduction and Architecture

• Exploring the history and key features of Cassandra.

• Understanding Cassandra's distributed architecture, nodes, and clusters.

• Deep dive into data distribution and replication strategies for fault tolerance.

Module 3: Cassandra Data Model

• Grasping the wide-column store data model in Cassandra.

• Understanding tables, rows, and columns in Cassandra.

Module 4: Cassandra Query Language (CQL)

• Mastering CQL syntax for basic and advanced data manipulation.

• Performing CRUD operations (Create, Read, Update, Delete) using CQL.

Module 5: Hands-on Labs I

• Installing and configuring Cassandra on different platforms.

• Practicing CQL commands through interactive exercises.

• Creating and managing keyspaces and tables.

• Working with data insertion, updates, and queries.

Module 6: Data Modeling Best Practices

• Learning effective data partitioning strategies for scalability.

• Exploring denormalization and secondary indexes for optimized querying.

Module 7: Consistency, Availability, and Performance Tuning

• Understanding consistency levels in Cassandra and their impact.

• Balancing consistency and availability for your application needs.

• Implementing basic performance tuning techniques for Cassandra clusters.

Module 8: Advanced Cassandra Concepts

• Working with advanced data types (collections, user-defined types).

• Exploring more complex CQL queries and operations (aggregations, filtering).

Module 9: Security in Cassandra

• Implementing authentication and authorization mechanisms.

• Utilizing best practices for securing data in transit and at rest.