Apache Cassandra is an open-source, distributed NoSQL database recognized for its scalability, reliability, and continuous availability. The course explores the core concepts that drive these features, including distributed architecture, data modeling, CQL, table design, data types, tunable consistency, and the read/write path.
Lessons combine theoretical insights with hands-on exercises, allowing you to execute CQL queries directly in your browser and view real-time results with no setup required. Additionally, each module concludes with a quiz to test your understanding of the material.
By the end of this course, you’ll be equipped with the skills needed to use Cassandra for high-performance data management.
Apache Cassandra is an open-source, distributed NoSQL database recognized for its scalability, reliability, and continuous avail...Show More
WHAT YOU'LL LEARN
An understanding of Apache Cassandra’s evolution and key features
An understanding of Cassandra’s architecture and the basics of data modeling in Cassandra
Hands-on experience with CQL, DDL, and DML operations
The ability to utilize primary and secondary indexes effectively for data organization
Working knowledge of Cassandra data types: native, collections, user-defined, and tuples
The ability to configure tunable consistency and evaluate its impact
Working knowledge of Cassandra’s read and write paths
An understanding of Apache Cassandra’s evolution and key features
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Content
2.
Apache Cassandra Overview
3 Lessons
Discover Apache Cassandra’s history, features, and ideal use cases for data management.
3.
Apache Cassandra Architecture
11 Lessons
Explore Cassandra’s architecture, management tools, and data-handling mechanisms for effective database operations.
4.
Apache Cassandra Data Modeling
5 Lessons
Explore Apache Cassandra’s storage structure, modeling, and native data types.
5.
Apache Cassandra Table
17 Lessons
For efficient performance, explore data organization, management, and querying in Apache Cassandra.
6.
Apache Cassandra Data Types
8 Lessons
Explore Apache Cassandra’s data types, including counters, collections, UDTs, and tuples.
7.
Tunable Consistency
5 Lessons
Explore data consistency and various levels in Apache Cassandra for optimal performance.
8.
Apache Cassandra Read and Write Path
3 Lessons
Understand Cassandra’s efficient write and read paths for optimized data management.
9.
Wrap Up
2 Lessons
Explore course summary and learn best practices for optimizing Cassandra’s performance and scalability.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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