Course Outline
- Section 1: Introduction to Big Data and NoSQL
- NoSQL overview
- CAP theorem
- When to choose NoSQL
- Columnar storage
- NoSQL ecosystem
- Section 2: Cassandra Basics
- Design and architecture
- Cassandra nodes, clusters, and datacenters
- Keyspaces, tables, rows, and columns
- Partitioning, replication, and tokens
- Quorum and consistency levels
- Labs: Interacting with Cassandra using CQLSH
- Section 3: Data Modeling – Part 1
- Introduction to CQL
- CQL data types
- Creating keyspaces and tables
- Selecting columns and data types
- Choosing primary keys
- Row and column layout
- Time to live (TTL)
- Querying with CQL
- CQL updates
- Collections (list, map, and set)
- Labs: Hands-on data modeling exercises using CQL; exploring queries and supported data types
- Section 4: Data Modeling – Part 2
- Creating and using secondary indexes
- Composite keys (partition keys and clustering keys)
- Time series data
- Best practices for time series data
- Counters
- Lightweight transactions (LWT)
- Labs: Creating and utilizing indexes; modeling time series data
- Section 5: Data Modeling Labs – Group Design Session
- Review of multiple use cases from various industries
- Group work to develop designs and data models
- Different design options and decision analysis
- Lab: Implement one of the scenarios
- Section 6: Cassandra Drivers
- Introduction to the Java driver
- CRUD (Create, Read, Update, Delete) operations using the Java client
- Asynchronous queries
- Labs: Using the Java API for Cassandra
- Section 7: Cassandra Internals
- Understanding Cassandra’s internal design
- SSTables, memtables, and commit log
- Read and write paths
- Caching
- Virtual nodes (vnodes)
- Section 8: Administration
- Hardware selection
- Cassandra distributions
- Cassandra best practices (compaction, garbage collection)
- Troubleshooting tools and tips
- Lab: Installing Cassandra and running benchmarks
- Section 9: Bonus Lab (time permitting)
- Build a music service similar to Pandora or Spotify on Cassandra
Requirements
- Familiarity with the Java programming language
- Comfort working in a Linux environment (including command-line navigation and file editing with vi or nano)
Testimonials (7)
The practical exercises and examples of implementing examples of real models and contexts.
Leandro Gomes
Course - Cassandra for Developers
I enjoyed the very good explanations with in depth examples.
Rui Magalhaes
Course - Cassandra for Developers
I liked all technical explanation and theoretical introduction.
Andre Santos
Course - Cassandra for Developers
I liked the amount of exercises. We could immediately apply the knowledge shared and ensure the information was on point.
Joana Pereira
Course - Cassandra for Developers
There was a lot of knowledge and material shared that will help me to do my current tasks.
Miguel Fernandes
Course - Cassandra for Developers
I already using and have an application in production with Cassandra so mostly of the topics i already know but the data modeling and advanced topics are a lot interesting.
Tiago Costa
Course - Cassandra for Developers
The last exercise was very good.
