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Course Outline
- Section 1: Introduction to Big Data / NoSQL
- Overview of NoSQL databases
- The CAP theorem
- Scenarios suitable for NoSQL
- Columnar storage concepts
- The broader NoSQL ecosystem
- Section 2 : Cassandra Basics
- Core design and architecture
- Understanding nodes, clusters, and datacenters
- Keyspaces, tables, rows, and columns
- Partitioning, replication, and token management
- Quorum mechanisms and consistency levels
- Hands-on lab: interacting with Cassandra via CQLSH
- Section 3: Data Modeling – part 1
- Fundamentals of CQL
- Supported CQL data types
- Creating keyspaces and tables
- Selecting appropriate columns and types
- Defining primary keys
- Data layout for rows and columns
- Managing Time to Live (TTL)
- Executing queries with CQL
- Performing CQL updates
- Working with collections (lists, maps, sets)
- Hands-on lab: data modeling exercises, query experimentation, and data type testing
- Section 4: Data Modeling – part 2
- Creating and leveraging secondary indexes
- Composite keys (partition and clustering keys)
- Handling time series data
- Best practices for time series data management
- Using counters
- Lightweight transactions (LWT)
- Hands-on lab: index implementation and time series data modeling
- Section 5 : Cassandra Internals
- Deep dive into Cassandra's internal design
- SSTables, memtables, and the commit log
- Section 6: Administration
- Hardware selection criteria
- Cassandra distributions
- Node-to-node communication
- Data writing and reading via the storage engine
- Managing data directories
- Anti-entropy operations
- Cassandra compaction processes
- Selecting and implementing compaction strategies
- Cassandra best practices (including compaction and garbage collection)
- Setting up a low-memory footprint test instance
- Troubleshooting tools and strategies
- Hands-on lab: installing Cassandra and executing benchmarks
Requirements
- Proficiency in Linux environments (command line navigation, file editing with vi / nano)
- For on-site courses, a laptop or desktop equipped with 8 GB of RAM
- For remote courses, a pre-configured Cassandra lab is provided; only a web browser is required
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.
