Course Outline
- Section 1: Introduction to Big Data / NoSQL
- NoSQL overview
- CAP theorem
- When to use 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 types
- Selecting primary keys
- Data layout for rows and columns
- Time to live (TTL)
- Querying with CQL
- CQL updates
- Collections (list, map, set)
- Labs: various data modeling exercises using CQL; experimenting with 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 using indexes; modeling time series data
- Section 5: Data Modeling Labs: Group Design Session
- Multiple use cases from various domains are presented
- Students collaborate in groups to develop designs and models
- Discussion of various designs and analysis of decision-making processes
- Lab: implementation of 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 underlying design
- SSTables, memtables, and commit log
- Read and write paths
- Caching
- Vnodes
- Section 8: Administration
- Hardware selection
- Cassandra distributions
- Cassandra best practices (compaction, garbage collection)
- Troubleshooting tools and tips
- Lab: students install Cassandra and run benchmarks
- Section 9: Bonus Lab (time permitting)
- Implement a music service similar to Pandora or Spotify on Cassandra
Requirements
- Familiarity with the Java programming language
- Comfortable working in a Linux environment (including navigating the command line and editing files using 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.
