Data Model and DML Operations: Data Model and DML Operations encompass the concepts and skills required to design and manipulate data in Cassandra. This skill is crucial to assess as it determines how well candidates can work with the database at a fundamental level.
Cassandra Query Language (CQL): Cassandra Query Language (CQL) is a SQL-like language used to interact with Cassandra. Measuring this skill in the test helps recruiters evaluate candidates' ability to write efficient queries, which is essential for Cassandra database management.
Data Modeling Best Practices: Data Modeling Best Practices involve following industry-recommended guidelines for designing data models in Cassandra. This skill is necessary to evaluate as it assesses candidates' knowledge of optimization techniques and strategies to ensure high performance and scalability.
Partitioning and Distribution: Partitioning and Distribution refer to the process of dividing data across multiple nodes in a Cassandra cluster. Including this skill in the test allows recruiters to assess candidates' understanding of how data is distributed and stored, which directly impacts the performance and fault tolerance of a Cassandra database.
Data Replication and Consistency: Data Replication and Consistency pertain to the mechanisms used in Cassandra to replicate data across nodes and maintain data consistency. Evaluating this skill in the test helps recruiters gauge candidates' knowledge of replication strategies and their understanding of how consistency is achieved in a distributed database.
Cassandra Architecture and Internals: Cassandra Architecture and Internals cover the underlying architecture and inner workings of the Cassandra database. This skill is important to measure as it demonstrates candidates' familiarity with the various components and mechanisms that enable Cassandra's scalability and fault tolerance.
Performance Tuning and Optimization: Performance Tuning and Optimization involve identifying and implementing measures to improve the performance and efficiency of a Cassandra database. This skill should be measured in the test to evaluate candidates' ability to optimize queries, handle large data sets, and fine-tune Cassandra configurations for optimal performance.
Backup and Recovery: Backup and Recovery encompass the techniques and practices used to back up and restore data in Cassandra. Measuring this skill in the test allows recruiters to determine candidates' proficiency in data backup strategies and their ability to recover data in case of failures or disasters.
Security and Authentication: Security and Authentication refer to the mechanisms and procedures employed to secure a Cassandra database from unauthorized access. Including this skill in the test helps recruiters assess candidates' knowledge of authentication methods, encryption techniques, and best practices for safeguarding data in a distributed environment.