Y. Venkata Sarath C.

Years of Experience in MySQL DBA Training

10

Years of Experience in RDBMS Training

6

Teaching Experience in detail in RDBMS Training

Postgressql dba

Years of Experience in Google Cloud Platform

10

Years of Experience in Cassandra Classes

5

Teaching Experience in detail in Cassandra Classes

1. Introduction to NoSQL and Cassandra NoSQL Databases: Understanding the differences between NoSQL and relational databases (RDBMS). Exploring the CAP theorem and its implications for NoSQL databases. Key use cases for NoSQL databases. Introduction to Cassandra: History and evolution of Cassandra. Core concepts and architecture of Cassandra. Key features and benefits of using Cassandra. 2. Cassandra Architecture and Data Modeling Cluster Architecture: Understanding nodes, clusters, and data centers. Replication and consistency levels. Partitioning and data distribution. Data Modeling: Designing tables, columns, and keyspaces. Choosing appropriate data types. Understanding primary keys and clustering columns. Designing for efficient read and write operations. 3. Cassandra Installation and Configuration Installation and Setup: Installing Cassandra on various operating systems. Configuring Cassandra nodes and clusters. Setting up a secure Cassandra environment. Configuration Files: Understanding and modifying Cassandra configuration files (cassandra.yaml, log4j-server.properties, etc.). Tuning Cassandra for performance and scalability. 4. Cassandra Administration and Management Cluster Management: Monitoring cluster health and performance. Adding and removing nodes from the cluster. Performing node repairs and maintenance. Data Management: Backing up and restoring Cassandra data. Compaction and garbage collection. Troubleshooting common Cassandra issues. Security Management: Implementing authentication and authorization. Securing access to Cassandra data. 5. Cassandra Query Language (CQL) CQL Basics: Understanding CQL syntax and data types. Performing CRUD operations (Create, Read, Update, Delete) using CQL. Working with collections (lists, sets, maps). Advanced CQL: Using secondary indexes for efficient queries. Performing batch operations. Writing user-defined functions (UDFs). 6. Cassandra Client Development Client Libraries: Working with different Cassandra client libraries (Java, Python, Node.js, etc.). Connecting to a Cassandra cluster from client applications. Performing data operations using client APIs. 7. Cassandra Performance Tuning Performance Monitoring: Using tools to monitor Cassandra performance (nodetool, JMX). Analyzing performance metrics (read/write latency, throughput, etc.). Performance Tuning Strategies: Adjusting Cassandra configuration parameters. Optimizing data models and queries. Implementing caching strategies. 8. Cloud-Based Cassandra Cloud Services: Deploying Cassandra on cloud platforms (AWS, Azure, GCP). Managing Cassandra clusters on cloud platforms. Utilizing cloud-specific features and services. 9. Advanced Topics Cassandra Security Best Practices Cassandra Disaster Recovery Cassandra Monitoring and Alerting Cassandra Integration with Other Tools 10. Hands-on Exercises and Projects Real-world Case Studies: Analyzing real-world Cassandra use cases. Designing and implementing Cassandra solutions for specific problems. Hands-on Labs: Setting up and managing a Cassandra cluster. Performing administrative tasks. Writing CQL queries and client applications. Troubleshooting Cassandra issues.