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Course Outline
- Section 1: Introduction to Big Data / NoSQL
- Overview of NoSQL
- The CAP theorem
- Scenarios suitable for NoSQL adoption
- Columnar storage concepts
- The NoSQL ecosystem
- Section 2: Cassandra Basics
- Design and architecture
- Cassandra nodes, clusters, and data centres
- Keyspaces, tables, rows, and columns
- Partitioning, replication, and tokens
- Quorum and consistency levels
- Labs: Interacting with Cassandra using CQLSH
- Section 3: Data Modelling – Part 1
- Introduction to CQL
- CQL data types
- Creating keyspaces and tables
- Selecting appropriate columns and types
- Defining primary keys
- Data layout for rows and columns
- Time to Live (TTL)
- Querying with CQL
- Executing CQL updates
- Collections (list, map, and set)
- Labs: Diverse data modelling exercises using CQL, including experimentation with queries and supported data types
- Section 4: Data Modelling – Part 2
- Creating and utilising secondary indexes
- Composite keys (partition and clustering keys)
- Handling time series data
- Best practices for time series modelling
- Counters
- Lightweight transactions (LWT)
- Labs: Implementing and using indexes; modelling time series data
- Section 5: Cassandra Internals
- Understanding the underlying design of Cassandra
- SSTables, memtables, and the commit log
- Section 6: Administration
- Hardware selection criteria
- Cassandra distributions
- Communication between Cassandra nodes
- Writing and reading data to and from the storage engine
- Data directory structures
- Anti-entropy operations
- Cassandra compaction
- Selecting and implementing compaction strategies
- Cassandra best practices (including compaction and garbage collection)
- Setting up a low-memory footprint test Cassandra instance
- Troubleshooting tools and techniques
- Lab: Installing Cassandra and running performance benchmarks
Requirements
- Proficiency in a Linux environment (including command-line navigation and file editing using vi or nano)
- For on-site training, a laptop or desktop machine equipped with 8 GB of RAM
- For remote sessions, a functional Cassandra lab environment will be provided, requiring only a web browser for access
14 Hours
Testimonials (2)
Extensive knowledge of NoSQL environments, not only Cassandra (ex: HADOOP)
Stefan Marcoci - Videotron ltee
Course - Cassandra Administration
The 1:1 style meant the training was tailored to my individual needs.
