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Duration 14 hours
Course Outline
- Section 1: Introduction to Big Data / NoSQL
- Overview of NoSQL
- The CAP theorem
- Scenarios suitable for NoSQL
- Columnar storage
- 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 via CQLSH
- Section 3: Data Modeling – part 1
- Introduction to CQL
- CQL datatypes
- Creating keyspaces and tables
- Selection of columns and types
- Selection of primary keys
- Data layout for rows and columns
- Time to live (TTL)
- Executing queries with CQL
- Performing CQL updates
- Collections (list / map / set)
- Labs : Data modeling exercises with 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)
- Time series data
- Best practices for time series data
- Counters
- Lightweight transactions (LWT)
- Labs : Building and using indexes; modeling time series data
- Section 5 : Cassandra Internals
- Understanding Cassandra's internal design
- sstables, memtables, and commit logs
- Section 6: Administration
- Hardware selection
- Cassandra distributions
- Communication between Cassandra nodes
- Data read and write operations with the storage engine
- Data directories
- Anti-entropy operations
- Cassandra compaction
- Selection and implementation of compaction strategies
- Cassandra best practices (compaction, garbage collection, etc.)
- Setting up a test Cassandra instance with low memory usage
- Troubleshooting tools and tips
- Lab : Installing Cassandra and running 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
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.
