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Course Outline
- Section 1: Introduction to Big Data & NoSQL
- Overview of NoSQL concepts
- The CAP theorem
- Scenarios where NoSQL is suitable
- Columnar storage techniques
- The broader NoSQL ecosystem
- Section 2 : Fundamentals of Cassandra
- System design and architecture
- Cassandra nodes, clusters, and data centers
- Keyspaces, tables, rows, and columns
- Partitioning, replication, and token management
- Quorum and consistency levels
- Labs: Interacting with Cassandra via CQLSH
- Section 3: Data Modeling – 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) implementation
- Executing queries with CQL
- Performing CQL updates
- Working with collections (lists, maps, and sets)
- Labs: Various data modeling exercises using CQL; experimenting with queries and supported data types
- Section 4: Data Modeling – Part 2
- Creating and utilizing secondary indexes
- Composite keys (partition keys and clustering keys)
- Handling time-series data
- Best practices for time-series applications
- Using counters
- Lightweight Transactions (LWT)
- Labs: Creating and using indexes; modeling time-series data
- Section 5 : Cassandra Internals
- Understanding Cassandra's internal design
- SSTables, Memtables, and the Commit Log
- Section 6: Administration
- Hardware selection criteria
- Cassandra distributions
- Communication between Cassandra nodes
- Writing and reading data to/from the storage engine
- Managing data directories
- Anti-entropy operations
- Cassandra compaction processes
- Selecting and implementing compaction strategies
- Cassandra best practices (compaction, garbage collection)
- Setting up a test Cassandra instance with a low memory footprint
- Troubleshooting tools and tips
- Lab: Installing Cassandra and running benchmarks
Requirements
- Proficiency with the Linux environment, including command-line navigation and file editing using vi or nano
- For in-person sessions, a laptop or desktop computer equipped with 8 GB of RAM
- For remote sessions, a functional Cassandra lab environment will be provided, requiring only a web browser to 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.
