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Duration 14 hours
Course Outline
- Section 1: Introduction to Big Data / NoSQL
- Overview of NoSQL databases
- The CAP theorem
- Scenarios suitable for NoSQL
- Columnar storage concepts
- The NoSQL ecosystem
- Section 2: Cassandra Basics
- Design and architectural components
- Cassandra nodes, clusters, and datacenters
- Keyspaces, tables, rows, and columns
- Partitioning, replication, and tokens
- Quorum and consistency levels
- Lab: Interacting with Cassandra using 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)
- Querying data with CQL
- Executing CQL updates
- Working with collections (list / map / set)
- 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 keys and clustering keys)
- Handling time series data
- Best practices for time series data
- Counters
- Lightweight transactions (LWT)
- Lab: 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 considerations
- Available Cassandra distributions
- Communication between Cassandra nodes
- Reading and writing data to 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)
- Creating a test Cassandra instance with a low memory footprint
- Troubleshooting tools and tips
- Lab: Installing Cassandra and running benchmarks
Requirements
- Proficiency in a Linux environment, including command-line navigation and file editing with vi or nano
- For on-site sessions: A laptop or desktop computer equipped with 8 GB of RAM
- For remote sessions: A functional Cassandra lab environment 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.
