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Cassendra

The Apache Cassandra Fundamentals course is a comprehensive program designed to provide participants with a solid understanding and practical skills in working with Apache Cassandra, a highly scalable and distributed NoSQL database. Covering essential concepts, data modeling, and hands-on exercises, this course ensures participants can effectively use Apache Cassandra for building robust and scalable data solutions.

Dive into the Apache Cassandra Fundamentals course, a comprehensive program designed to equip participants with a solid understanding and practical skills for working with Apache Cassandra— covering essential concepts, data modeling, and hands-on exercises, this course ensures participants can effectively leverage Apache Cassandra to build robust and scalable data solutions.”


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What you will learn

By the end of this course, participants will be able to:
  • Develop a deep understanding of Apache Cassandra's data model and query language.
  • Design and create tables for optimal data distribution and access patterns.
  • Configure and manage replication for fault tolerance and consistency.
  • Secure Apache Cassandra deployments and implement operational best practices.
  • Integrate Cassandra with DevOps workflows and automation.
  • Explore advanced concepts and features in Apache Cassandra.

Beneficial for

This course is suitable for:
  • Database Administrators
  • Developers
  • System Architects
  • DevOps Engineers
  • Anyone interested in leveraging Apache Cassandra for scalable and distributed data solutions.

Course Pre-requisite

Participants should have a basic understanding of:
  • Basic understanding of database concepts.
  • Familiarity with NoSQL databases (beneficial but not mandatory).
  • Enthusiasm for working with distributed and scalable data solutions.

Course Outline

Overview of NoSQL databases and Apache Cassandra

Key features and benefits of using Apache Cassandra

Setting up the Apache Cassandra environment

Understanding Cassandra’s data model

Designing tables and defining keys in Cassandra

Primary keys, clustering columns, and compound keys

Introduction to CQL and its syntax

Creating, updating, and querying data in CQL

Indexing and performance considerations in CQL

Partitioning and distribution of data in Cassandra

Configuring replication for fault tolerance

Consistency levels and trade-offs in Cassandra

Overview of Cassandra’s architecture

Understanding the read and write paths in Cassandra

Gossip protocol and membership management

Securing Apache Cassandra deployments

Authentication and authorization in Cassandra

Data encryption and best practices for security

Monitoring and managing Cassandra clusters

Backup and restore strategies in Cassandra

Handling maintenance and upgrades in Cassandra

Integrating Cassandra with DevOps workflows

Automation and scripting for Cassandra administration

CI/CD practices for Cassandra deployments

Materialized views and secondary indexes in Cassandra

Batch processing and lightweight transactions

Introduction to Apache Cassandra 4.0 features

Case studies of real-world Cassandra implementations

Best practices for designing scalable solutions with Cassandra

Performance optimization and troubleshooting in Cassandra

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