Apache Cassandra

This course aims to provide a comprehensive understanding of Apache Cassandra, equipping learners with the skills to efficiently manage and utilize this powerful NoSQL database system.
Participants will gain hands-on experience in Cassandra’s architecture, data modeling, CRUD operations, performance tuning, and advanced features, enabling them to design, deploy, and maintain scalable and high-performance database solutions.
Upon completing the Apache Cassandra Course, Participants will gain comprehensive skills in installing, configuring, and managing Apache Cassandra, covering everything from fundamental concepts to advanced techniques.
The course equips you to build and maintain scalable, high- performance databases, making it ideal for large-scale applications.
By developing expertise in this popular NoSQL database, you'll enhance your career prospects for roles related to distributed systems and data management.
Hands-on exercises and real-world scenarios, such as data modeling and performance optimization, will provide practical experience.
Additionally, you will learn best practices for database security, performance tuning, and maintenance, ensuring that your Cassandra implementations are both efficient and reliable.

Overview of Cassandra
o What is Apache Cassandra?
o Cassandra’s role in database management
o Use cases and applications
Architecture and Design
o Cassandra’s architecture overview
o Distributed and decentralized design
o Key concepts: nodes, clusters, and data centers

Installing Cassandra
o Prerequisites and environment setup
o Installation on different platforms (Linux, Windows, Mac)
Configuration
o Basic configuration settings
o Cluster setup and management
o Verifying installation and setup

Data Modeling Concepts
o Understanding the data model in Cassandra
o Tables, columns, and rows
Designing Keyspaces and Tables
o Creating and managing keyspaces
o Designing tables with primary keys and clustering columns
o Handling data replication and consistency

Inserting and Updating Data
o Using CQL (Cassandra Query Language) for data manipulation
o Insert, update, and delete operations
Querying Data
o Basic queries and filtering
o Using CQL for querying and retrieving data
o Advanced query features and indexing

Data Management
o Compaction and garbage collection
o Managing SSTables and data files
Backup and Recovery
o Strategies for backup and restore
o Performing incremental backups
o Data recovery techniques

Performance Tuning
o Identifying and analyzing performance bottlenecks
o Tuning configuration settings for optimal performance
Optimization Techniques
o Indexing strategies
o Query optimization and execution plans
o Monitoring and metrics

Advanced Data Management
o Working with secondary indexes and materialized views
o Using Cassandra’s built-in analytics capabilities
Integrating with Other Tools
o Integration with Hadoop, Spark, and other data processing tools

Deploying Cassandra
o Deployment strategies for production environments
o High availability and fault tolerance

LET'S SCHEDULE A DEMO!