Cassandra for Beginners

Explore Apache Cassandra, a powerful and highly scalable distributed database designed for managing massive volumes of structured data. This NoSQL database offers exceptional high availability and eliminates single points of failure, making it ideal for applications dealing with rapidly changing data.

In this comprehensive course, you'll delve into the core architecture of Cassandra and learn how to design efficient Cassandra data models to support highly scalable applications. We'll explore the key differences between Cassandra and relational databases, and you'll gain proficiency in using the Cassandra Query Language (CQL).

The course begins with a practical setup guide:

• Installation: We'll walk you through installing Oracle VirtualBox and Ubuntu-Linux, the operating system for our Cassandra environment.
• Cassandra Installation: Learn to install Apache Cassandra on your Ubuntu-Linux virtual machine.
• Basic Cassandra Introduction: Get a solid foundation in understanding Cassandra's core concepts.

Then, we'll cover essential operations using CQLSH, the Cassandra Query Language Shell:

• Keyspace Management:
  • Creating a keyspace: Learn how to define and create keyspaces to organize your data.
  • Altering a keyspace: Modify existing keyspace properties.
  • Dropping a keyspace: Remove keyspaces when they are no longer needed.
• Table Management:
  • Creating a table: Define table schemas for storing your data.
  • Inserting data into a table: Learn how to add new data to your tables.
  • Reading data from a table: Efficiently retrieve data from Cassandra.
  • Updating data in a table: Modify existing data within your tables.
  • Deleting a table: Remove tables and their associated data.
• Advanced CQL Operations:
  • Using Batch for multiple modification operations: Improve performance with batch operations.
  • Altering a table: Modify table schemas after creation.
• Indexing:
  • Creating Index: Enhance query performance with indexes.
• Data Management:
  • Truncating a table: Remove all data from a table.

Finally, we'll explore how to create tables with different data structures:

• Creating a table with Set collection: Store collections of unique elements.
• Creating a table with List collection: Store ordered collections of elements.
• Creating a table with Map collection: Store key-value pairs within a table.

This course provides the knowledge and skills to effectively utilize Apache Cassandra for building robust, scalable, and highly available applications.