Cassandra Data Modeling Essential Training (2017)

Learn about the architecture of Cassandra—a popular NoSQL database capable of handling large amounts of fast-changing data—and discover how to design Cassandra data models.

Introduction

• Welcome
• What you should know
• Exercise files

1. Cassandra Architecture

• Cassandra and relational databases
• Keyspaces, tables, and columns
• Primary keys, partitions, and secondary indexes
• Cassandra clusters
• Installing Java
• Installing Cassandra
• Creating a keyspace in tables

2. Cassandra Query Language Data Types

• Numeric data types
• String, date, and unique types
• Collection data types
• Tuple data types

3. Designing Cassandra Tables

• Queries drive design
• Denormalizing: Joining or sorting
• Tuning tables to optimize queries
• Data modeling for time series: Part 1
• Data modeling for time series: Part 2
• Time series exercise
• When to use secondary indexes
• When to use materialized views
• UUID and delete exercise

4. Physical Data Modeling and Distributing Data

• Estimating data size 1: The formulas
• Estimating data size 2: An example
• Replication in Cassandra
• Understanding consistency levels

5. Cassandra Architecture and Its Impact on Data Modeling

• Understanding the query process
• Understanding commit writes
• Bloom filters and query processing
• Understand deletes and tombstones
• Understand compaction

Conclusion

• Five best practices for Cassandra data modeling
• Next steps