Course Outline
- Section 1: Introduction to Big Data / NoSQL
- NoSQL overview
- CAP theorem
- When is NoSQL appropriate
- 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 Datatypes
- Creating keyspaces & 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 work in groups to develop designs and models
- Discuss various designs and analyze decisions
- 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 design under the hood
- sstables, memtables, commit log
- Read path / write path
- 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 like Pandora / Spotify on Cassandra
Requirements
- Familiarity with the Java programming language
- Comfort with the Linux environment (navigating the command line, editing files with vi / 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.
