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Duration 14 hours
Course Outline
- Section 1: Introduction to Big Data and NoSQL
- Overview of NoSQL
- The CAP theorem
- Situations where NoSQL is appropriate
- Columnar storage concepts
- The NoSQL ecosystem
- Section 2: Cassandra Fundamentals
- System design and architecture
- Cassandra nodes, clusters, and data centers
- Keyspaces, tables, rows, and columns
- Partitioning, replication, and tokens
- Quorum and consistency levels
- Practical lab: 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
- Choosing primary keys
- Data layout for rows and columns
- Time to Live (TTL)
- Querying data with CQL
- Performing CQL updates
- Collections (list, map, and set)
- Practical lab: 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 and clustering keys)
- Time series data
- Best practices for handling time series data
- Counters
- Lightweight Transactions (LWT)
- Practical lab: Creating and using indexes; modeling time series data
- Section 5: Cassandra Internals
- Understanding the internal design of Cassandra
- SSTables, memtables, and the commit log
- Section 6: Administration
- Hardware selection
- Available Cassandra distributions
- Communication between Cassandra nodes
- Reading from and writing to the storage engine
- Data directory structure
- 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 Cassandra test instance
- Troubleshooting tools and tips
- Practical lab: Installing Cassandra and running benchmarks
Requirements
- Proficiency in Linux environments, including command-line navigation and file editing with vi or nano
- For on-site courses: A laptop or desktop equipped with 8 GB of RAM
- For remote courses: A functional Cassandra lab environment will be provided, requiring only a web browser
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.
