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Course Outline
- Section 1: Introduction to Big Data / NoSQL
- Overview of NoSQL
- Understanding the CAP theorem
- When to use NoSQL
- Columnar storage concepts
- The 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 and tables
- Selecting columns and data types
- Defining primary keys
- Structuring data layout for rows and columns
- Time to live (TTL)
- Querying data with CQL
- Updating data with CQL
- Collections (list, map, set)
- Labs: Various data modeling exercises using CQL, including 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)
- Managing time series data
- Best practices for time series data
- Using counters
- Lightweight transactions (LWT)
- Labs: Creating and using indexes, and modeling time series data
- Section 5: Cassandra Internals
- Understanding Cassandra’s internal design
- sstables, memtables, and commit logs
- Section 6: Administration
- Hardware selection criteria
- Cassandra distributions
- Node communication in Cassandra
- Writing and reading data via the storage engine
- Data directories management
- Anti-entropy operations
- Cassandra compaction processes
- Choosing and implementing compaction strategies
- Cassandra best practices (compaction, garbage collection, etc.)
- Setting up a test Cassandra instance with a low memory footprint
- Troubleshooting tools and tips
- Lab: Students install Cassandra and run benchmarks
Requirements
- Familiarity with the Linux environment, including command-line navigation and file editing with vi or nano
- For on-site courses: a laptop or desktop with 8 GB of RAM
- For remote courses: a functional Cassandra lab will be 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.
