Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
- Section 1: Introduction to Big Data / NoSQL
- Overview of NoSQL
- The CAP theorem
- Appropriate use cases 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 using CQLSH
- Section 3: Data Modeling – Part 1
- Introduction to CQL
- CQL data types
- Creating keyspaces and tables
- Selecting columns and data types
- Defining primary keys
- Structure of rows and columns
- Time to live (TTL)
- Querying with CQL
- Updates in CQL
- Collections (list, map, and set)
- Labs: various data modeling exercises using CQL; 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)
- Time series data
- Best practices for time series data
- Counters
- Lightweight transactions (LWT)
- Labs: creating and using indexes; modeling time series data
- Section 5: Cassandra Internals
- Understanding Cassandra's underlying design
- SSTables, memtables, and commit log
- Section 6: Administration
- Hardware selection
- Cassandra distributions
- Cassandra node communication
- Writing and reading data to/from the storage engine
- Data directories
- Anti-entropy operations
- Cassandra compaction
- Choosing 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 and run benchmarks
Requirements
- Familiarity with the Linux environment (including command-line navigation and file editing with vi or nano)
- For in-person sessions: a laptop or desktop with 8 GB of RAM
- For remote sessions: a working Cassandra lab environment 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.
