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Duration 14 hours
Course Outline
- Section 1: Introduction to Big Data / NoSQL
- NoSQL landscape
- CAP theorem
- Appropriate use cases for NoSQL
- Columnar storage concepts
- The NoSQL ecosystem
- Section 2 : Cassandra Basics
- Design and architectural principles
- 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
- Getting started with CQL
- CQL Datatypes
- Creating keyspaces & tables
- Selecting appropriate columns and types
- Selecting primary keys
- Data organization for rows and columns
- Time to live (TTL)
- Executing queries with CQL
- Performing CQL updates
- Working with Collections (list / map / set)
- Labs: Diverse 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)
- Labs: Creating and utilizing indexes; modeling time series data
- Section 5 : Cassandra Internals
- Understanding the underlying Cassandra design
- sstables, memtables, and the commit log
- Section 6: Administration
- Hardware selection
- Cassandra distributions
- Communication between Cassandra Nodes
- Writing and Reading data to/from the storage engine
- Managing Data directories
- Anti-entropy operations
- Cassandra Compaction
- 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: Students install Cassandra, run benchmarks
Requirements
- Familiarity with Linux environments (command-line navigation, editing files using vi or nano)
- For on-site courses, a laptop or desktop equipped with at least 8 GB of RAM
- For remote courses, a fully functional Cassandra lab environment will be supplied; 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.
